Triple

T10299015
Position Surface form Disambiguated ID Type / Status
Subject Elisha Cook Jr. E241574 entity
Predicate notableWork P4 FINISHED
Object Shane E660136 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: Shane | Statement: [Elisha Cook Jr., notableWork, Shane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane
Context triple: [Elisha Cook Jr., notableWork, Shane]
  • A. Shane
    Shane is one of the central protagonists in the dystopian horror-thriller film "The Purge: Anarchy," caught on the streets during the annual night of legalized crime.
  • B. Shane
    Shane is a masculine given name of Irish origin that has become common in English-speaking countries.
  • C. Shane chosen
    Shane is a classic 1953 American Western film, directed by George Stevens, that follows a mysterious gunslinger who becomes entangled in a frontier family's struggle against a ruthless cattle baron.
  • D. Shane Drake
    Shane Drake is an American music video director known for his work with major pop and rock artists across the 2000s and 2010s.
  • E. Shane Harper
    Shane Harper is an American actor and singer known for roles in film and television, including the miniseries "A Teacher."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d35d5908190bb87100c81f2948a completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:44 a.m.