Triple

T18635542
Position Surface form Disambiguated ID Type / Status
Subject Matra 530 E455535 entity
Predicate successor P78 FINISHED
Object Matra Bagheera
The Matra Bagheera is a 1970s French mid-engined sports car notable for its sleek wedge-shaped design and unusual three-abreast seating layout.
E1334425 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: Matra Bagheera | Statement: [Matra 530, successor, Matra Bagheera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matra Bagheera
Context triple: [Matra 530, successor, Matra Bagheera]
  • A. Bagheera
    Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
  • B. Roaring Tiger
    Roaring Tiger is the fierce tiger mascot representing Colorado College’s athletic teams and school spirit.
  • C. Doc the Tiger
    Doc the Tiger is the costumed tiger mascot representing Towson University's women's basketball team and broader athletic programs.
  • D. The Tiger
    The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
  • E. The Tiger
    The Tiger is the costumed tiger character that serves as the spirited athletic mascot for Clemson University’s sports teams.
  • 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: Matra Bagheera
Triple: [Matra 530, successor, Matra Bagheera]
Generated description
The Matra Bagheera is a 1970s French mid-engined sports car notable for its sleek wedge-shaped design and unusual three-abreast seating layout.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matra Bagheera
Target entity description: The Matra Bagheera is a 1970s French mid-engined sports car notable for its sleek wedge-shaped design and unusual three-abreast seating layout.
  • A. Bagheera
    Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
  • B. Roaring Tiger
    Roaring Tiger is the fierce tiger mascot representing Colorado College’s athletic teams and school spirit.
  • C. Doc the Tiger
    Doc the Tiger is the costumed tiger mascot representing Towson University's women's basketball team and broader athletic programs.
  • D. The Tiger
    The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
  • E. The Tiger
    The Tiger is the costumed tiger character that serves as the spirited athletic mascot for Clemson University’s sports teams.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc80b308190932303231524d372 completed April 19, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d8039f481909ffe9d62afbb2a23 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050df74ca08190a7554396e052b702 completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050ecc33e48190bc28430a6a771492 completed May 13, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:46 a.m.