Triple

T3201762
Position Surface form Disambiguated ID Type / Status
Subject Boomerang! E67066 entity
Predicate stars P1956 FINISHED
Object Arthur Kennedy E132553 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: Arthur Kennedy | Statement: [Boomerang!, stars, Arthur Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Kennedy
Context triple: [Boomerang!, stars, Arthur Kennedy]
  • A. Arthur Kennedy chosen
    Arthur Kennedy was an American character actor known for his versatile performances in mid-20th-century films, including several acclaimed dramas and epics.
  • B. Sam Kennedy
    Sam Kennedy is a Major League Baseball executive best known for serving as the president and CEO of the Boston Red Sox.
  • C. Thomas Parnell
    Thomas Parnell was an Irish poet and clergyman of the early 18th century, best known for his reflective and pastoral verse and his association with leading Augustan writers.
  • D. Stephen MacCarthy
    Stephen MacCarthy is a member of the MacCarthy family, known primarily for his familial connection to the English literary critic and writer Desmond MacCarthy.
  • E. Christopher G. Kennedy
    Christopher G. Kennedy is an American businessman and member of the Kennedy political family, known for his work in real estate and public service in Illinois.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bc7772c8190b286141dac5ea778 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.