Triple

T9512038
Position Surface form Disambiguated ID Type / Status
Subject Estelle Taylor E229420 entity
Predicate marriagePartner P13 FINISHED
Object Kenneth Peacock E810411 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: Kenneth Peacock | Statement: [Estelle Taylor, marriagePartner, Kenneth Peacock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth Peacock
Context triple: [Estelle Taylor, marriagePartner, Kenneth Peacock]
  • A. Kenneth Peacock chosen
    Kenneth Peacock was the husband of American film actress Estelle Taylor, known primarily in relation to her career in early Hollywood.
  • B. Kenneth Peach
    Kenneth Peach was an American cinematographer best known for his work on early Hollywood films, including pioneering visual effects and photography on the original 1933 King Kong.
  • C. Clive Beddoe
    Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
  • D. Allan Pugh
    Allan Pugh is an individual notable enough to be specifically recorded as a bearer of the surname Pugh.
  • E. Andrew Peacock
    Andrew Peacock was an Australian Liberal Party politician and diplomat who served as federal opposition leader and held several senior ministerial portfolios.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98699b788190b1a475e1b1883584 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1820ed0c88190a91652965077755a completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:58 p.m.