Triple

T3377969
Position Surface form Disambiguated ID Type / Status
Subject Terrance Dicks E71111 entity
Predicate notableWork P4 FINISHED
Object Robot
"Robot" is a 1974 "Doctor Who" serial written by Terrance Dicks, featuring the Fourth Doctor in his debut story.
E352966 NE FINISHED

How this triple was built (4 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: Robot | Statement: [Terrance Dicks, notableWork, Robot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robot
Context triple: [Terrance Dicks, notableWork, Robot]
  • A. Joe Robot
    "Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
  • B. Omnidroid
    The Omnidroid is a powerful, artificially intelligent combat robot from Pixar's "The Incredibles," designed to adapt and become increasingly lethal by learning from every battle.
  • C. Atlas humanoid robot
    The Atlas humanoid robot is a highly advanced, bipedal research platform developed by Boston Dynamics for exploring agile, human-like mobility and manipulation in complex environments.
  • D. Ameca
    Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
  • E. RobotC
    RobotC is a C-based programming language and development environment commonly used for programming educational robotics platforms such as LEGO Mindstorms.
  • 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: Robot
Triple: [Terrance Dicks, notableWork, Robot]
Generated description
"Robot" is a 1974 "Doctor Who" serial written by Terrance Dicks, featuring the Fourth Doctor in his debut story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robot
Target entity description: "Robot" is a 1974 "Doctor Who" serial written by Terrance Dicks, featuring the Fourth Doctor in his debut story.
  • A. Joe Robot
    "Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
  • B. Omnidroid
    The Omnidroid is a powerful, artificially intelligent combat robot from Pixar's "The Incredibles," designed to adapt and become increasingly lethal by learning from every battle.
  • C. Atlas humanoid robot
    The Atlas humanoid robot is a highly advanced, bipedal research platform developed by Boston Dynamics for exploring agile, human-like mobility and manipulation in complex environments.
  • D. Ameca
    Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
  • E. RobotC
    RobotC is a C-based programming language and development environment commonly used for programming educational robotics platforms such as LEGO Mindstorms.
  • F. None of above. chosen

Provenance (5 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e8d1988190b6fb6c4c5502f25f completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334490bf08190aa119e72d12f5e4b completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334d2c7b8819096ed10686addc7e9 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b335b4cfc48190b5fef4255ba52d84 completed March 12, 2026, 9:52 p.m.
Created at: March 8, 2026, 3:13 p.m.