Triple

T9319573
Position Surface form Disambiguated ID Type / Status
Subject Joe Buck E224210 entity
Predicate spouse P13 FINISHED
Object Ann Buck E224210 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: Ann Buck | Statement: [Joe Buck, spouse, Ann Buck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Buck
Context triple: [Joe Buck, spouse, Ann Buck]
  • A. Ann Buck chosen
    Ann Buck is known as the former wife of American sportscaster Joe Buck.
  • B. Robin Buckley
    Robin Buckley is a witty, sharp-tongued Hawkins teen and Steve Harrington’s close friend who works with him at Scoops Ahoy and later helps uncover sinister mysteries in the series Stranger Things.
  • C. Betsy Rue
    Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
  • D. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • E. Ann McKean
    Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.