Triple

T6767380
Position Surface form Disambiguated ID Type / Status
Subject Chipotle Mexican Grill E154755 entity
Predicate Brian NiccolRole P73155 FINISHED
Object Chief Executive Officer LITERAL FINISHED

How this triple was built (2 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: Chief Executive Officer | Statement: [Chipotle Mexican Grill, Brian NiccolRole, Chief Executive Officer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Brian NiccolRole
Context triple: [Chipotle Mexican Grill, Brian NiccolRole, Chief Executive Officer]
  • A. notableCastMember
    Indicates that an entity is a member of the cast of another entity (such as a film, show, or production) and is considered particularly notable or significant in that role.
  • B. GameOfThronesRole
    Indicates that one entity plays, voices, or otherwise portrays a character in the television series "Game of Thrones" in relation to another entity.
  • C. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • D. supportingCharacter
    Indicates that one entity plays a secondary or assisting role in the story or context relative to another primary entity.
  • E. speakerRole
    Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
  • F. None of above. chosen

Provenance (4 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d231b79c81908a4f7fa8f253706d completed March 27, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d1d5f1908190989efc8a2d18c965 completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 2:12 p.m.