Triple

T1242875
Position Surface form Disambiguated ID Type / Status
Subject Interstellar E26696 entity
Predicate featuresRobotCharacter P12208 FINISHED
Object TARS
TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
E142450 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TARS | Statement: [Interstellar, featuresRobotCharacter, TARS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TARS
Context triple: [Interstellar, featuresRobotCharacter, TARS]
  • A. Tars
    Tars is the athletic nickname for the sports teams representing Rollins College.
  • B. Telarah
    Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
  • C. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TARS
Triple: [Interstellar, featuresRobotCharacter, TARS]
Generated description
TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TARS
Target entity description: TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
  • A. Tars
    Tars is the athletic nickname for the sports teams representing Rollins College.
  • B. Telarah
    Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
  • C. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresRobotCharacter
Context triple: [Interstellar, featuresRobotCharacter, TARS]
  • A. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • B. winningRobot
    Indicates that a robot is the one that has won a specified competition, contest, or task.
  • C. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • D. character1
    Indicates that the subject is identified as the first or primary character in a narrative or context.
  • E. characterIn chosen
    Indicates that an entity appears as a character within a specified work, story, or narrative.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7bd6148190933210f66a8899ce completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac900a6c208190b3c76efcec1186ec completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac9111e6288190b83074bd05e2f282 completed March 7, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69a4bb696a38819095845c84f0241287 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.