Triple

T2214203
Position Surface form Disambiguated ID Type / Status
Subject Durant Motors E50985 entity
Predicate brand P1500 FINISHED
Object Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
 E243928 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: Star | Statement: [Durant Motors, brand, Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Star
Context triple: [Durant Motors, brand, Star]
  • A. Stars
    Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
  • B. Starro
    Starro is a giant, telepathic alien starfish supervillain from DC Comics known for controlling minds and serving as a major threat to superhero teams like the Justice League.
  • C. Starlight
    Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • D. The Star
    The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
  • E. The Star
    The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • 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: Star
Triple: [Durant Motors, brand, Star]
Generated description
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Star
Target entity description: Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
  • A. Stars
    Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
  • B. Starro
    Starro is a giant, telepathic alien starfish supervillain from DC Comics known for controlling minds and serving as a major threat to superhero teams like the Justice League.
  • C. Starlight
    Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • D. The Star
    The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
  • E. The Star
    The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfef875c8190b642736b4cc11d4c completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6554f3308190a180cac3ad7e2ce4 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65d419048190ad723d21ab7f1cab completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae666e71908190b50be2cac5bdfa28 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.