Triple

T9670519
Position Surface form Disambiguated ID Type / Status
Subject Scott Thompson E234012 entity
Predicate familyName P18 FINISHED
Object Thompson E25151 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: Thompson | Statement: [Scott Thompson, familyName, Thompson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thompson
Context triple: [Scott Thompson, familyName, Thompson]
  • A. Thompson chosen
    Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
  • B. Thompson
    Thompson is a small city in Grand Forks County, North Dakota, known as a rural community within the Greater Grand Forks metropolitan area.
  • C. Caton-Thompson
    Caton-Thompson is the surname of Gertrude Caton-Thompson, a pioneering British archaeologist known for her influential work on prehistoric cultures in Africa and the Arabian Peninsula.
  • D. Stephen Thompson
    Stephen Thompson is an American mixed martial artist and elite kickboxer known for his karate-based striking style and long tenure as a top contender in the UFC.
  • E. John Douglas Thompson
    John Douglas Thompson is an acclaimed British-American actor known for his powerful stage performances in classical theater and notable roles in film and television.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3ec17081908c2da74a1d1f49da completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a247ca48190910624dfbf0b491d completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.