Triple

T16639442
Position Surface form Disambiguated ID Type / Status
Subject R. City E404291 entity
Predicate member P10 FINISHED
Object Theron Thomas E185902 NE 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: Theron Thomas | Statement: [R. City, member, Theron Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theron Thomas
Context triple: [R. City, member, Theron Thomas]
  • A. Theron Thomas chosen
    Theron Thomas is a Grammy-winning songwriter and producer from the U.S. Virgin Islands known for crafting hit records across pop, hip-hop, and R&B for major artists.
  • B. Theron Warth
    Theron Warth was a film editor known for his work on mid-20th-century American cinema.
  • C. Avery Bullock
    Avery Bullock is a fictional high-ranking CIA official and Stan Smith’s eccentric, often unhinged boss in the animated television series "American Dad!".
  • D. Timothy Black
    Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • E. Troy Garity
    Troy Garity is an American actor known for roles in films such as "Barbershop," "Soldier's Girl," and "Sunshine," as well as for being the son of actress Jane Fonda.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37acff38081908c8044936b794ce0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc41638819090e967ade46d35a4 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:18 a.m.