Triple

T15465204
Position Surface form Disambiguated ID Type / Status
Subject Playboy E372014 entity
Predicate hasContributor P4244 FINISHED
Object Norman Mailer E8598 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: Norman Mailer | Statement: [Playboy, hasContributor, Norman Mailer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Mailer
Context triple: [Playboy, hasContributor, Norman Mailer]
  • A. Norman Mailer chosen
    Norman Mailer was a prominent American novelist, journalist, and essayist known for works like "The Naked and the Dead" and for co-founding The Village Voice.
  • B. Michael Mailer
    Michael Mailer is an American film producer and director, known for his work on independent films and as the son of novelist Norman Mailer.
  • C. John Buffalo Mailer
    John Buffalo Mailer is an American writer, actor, and producer, known for his work in theater, film, and political commentary.
  • D. Norris Church Mailer
    Norris Church Mailer was an American novelist, memoirist, and former model and actress, best known for her autobiographical writings and for her long marriage to author Norman Mailer.
  • E. Howard Fast
    Howard Fast was an American novelist and screenwriter best known for his historical and politically charged works, including the novel that inspired the film "Spartacus."
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.