Triple

T12999828
Position Surface form Disambiguated ID Type / Status
Subject Brian Babin E322138 entity
Predicate name P16 FINISHED
Object Brian Babin E322138 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: Brian Babin | Statement: [Brian Babin, name, Brian Babin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Babin
Context triple: [Brian Babin, name, Brian Babin]
  • A. Brian Babin chosen
    Brian Babin is a Republican U.S. Representative from Texas known for his conservative positions on immigration, energy, and space policy.
  • B. 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.
  • C. Bill Buchanan
    Bill Buchanan is a fictional high-ranking Counter Terrorist Unit official from the television series "24," known for his calm leadership and integrity during national security crises.
  • D. Tom Scott
    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. Austin Travis
    Austin Travis is a fictional U.S. Army special operations officer and counter-terrorism expert who leads a high-stakes mission aboard a hijacked airliner in the action-thriller film "Executive Decision."
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7b268c8190b8bb855e9de23c3b completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c101ea60819098e4d5fb3a9e803a completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:46 p.m.