Triple

T9799672
Position Surface form Disambiguated ID Type / Status
Subject Tom Chambers E237803 entity
Predicate name P16 FINISHED
Object Tom Chambers E237803 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: Tom Chambers | Statement: [Tom Chambers, name, Tom Chambers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Chambers
Context triple: [Tom Chambers, name, Tom Chambers]
  • A. Tom Chambers chosen
    Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
  • B. Brian Babin
    Brian Babin is a Republican U.S. Representative from Texas known for his conservative positions on immigration, energy, and space policy.
  • C. Ray Walker
    Ray Walker is an American bass singer best known for his long tenure with the legendary vocal quartet The Jordanaires, who frequently performed and recorded with Elvis Presley.
  • D. Michele Hicks
    Michele Hicks is an American actress and former fashion model known for her roles in television series such as "The Shield" and various independent films.
  • E. Ken Paxton
    Ken Paxton is a Republican politician and lawyer who has served as the Attorney General of Texas, known for his conservative legal stances and involvement in high-profile political and legal controversies.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda628fe0081909d2fbac3bd56ee84 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c445c81481908700ffde5dd28936 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:28 p.m.