Triple

T3495171
Position Surface form Disambiguated ID Type / Status
Subject Gastr del Sol E73832 entity
Predicate formerMember P1168 FINISHED
Object Bundy K. Brown E248282 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: Bundy K. Brown | Statement: [Gastr del Sol, formerMember, Bundy K. Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundy K. Brown
Context triple: [Gastr del Sol, formerMember, Bundy K. Brown]
  • A. Brian Babin
    Brian Babin is a Republican U.S. Representative from Texas known for his conservative positions on immigration, energy, and space policy.
  • B. Rick Perry
    Rick Perry is an American Republican politician who served as the 47th governor of Texas and later as the U.S. Secretary of Energy under President Donald Trump.
  • C. Jodey Arrington
    Jodey Arrington is a Republican U.S. Representative from Texas known for his conservative positions on fiscal policy, agriculture, and border security.
  • D. Tom Scott chosen
    Tom Scott is an American saxophonist, composer, and bandleader known for his prolific session work, jazz-fusion recordings, and numerous film and television scores.
  • E. Tom Chambers
    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.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbb06fd08190b6c1fadfce4148f0 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c5e1248190a4c42805fb9363f0 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.