Triple

T4825763
Position Surface form Disambiguated ID Type / Status
Subject King Kong E107820 entity
Predicate notableRelationship P1481 FINISHED
Object Ann Darrow E308967 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 Darrow | Statement: [King Kong, notableRelationship, Ann Darrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Darrow
Context triple: [King Kong, notableRelationship, Ann Darrow]
  • A. Ann Darrow chosen
    Ann Darrow is the fictional leading lady and damsel-in-distress from the King Kong franchise, best known as the woman whom the giant ape becomes infatuated with.
  • B. Florence Cameron
    Florence Cameron is the daughter of former UK Prime Minister David Cameron and businesswoman Samantha Cameron.
  • C. Kate Reed
    Kate Reed is the sharp, idealistic former lawyer turned mediator at the center of the legal dramedy series "Fairly Legal."
  • D. Rose Allerton
    Rose Allerton was a member of the early 17th-century Allerton family associated with the Pilgrim settlers of Plymouth Colony.
  • E. Florence Crawford
    Florence Crawford was an early 20th-century Pentecostal evangelist and leader who helped spread the Azusa Street Revival’s message across the United States, particularly through her work in the Pacific Northwest.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dca2b708190ac05c91ba04d9ff6 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.