Triple

T22518889
Position Surface form Disambiguated ID Type / Status
Subject Magda Gabor E556720 entity
Predicate spouse P13 FINISHED
Object Sidney Warren NE NERFINISHED

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: Sidney Warren | Statement: [Magda Gabor, spouse, Sidney Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Warren
Context triple: [Magda Gabor, spouse, Sidney Warren]
  • A. Sidney Warren chosen
    Sidney Warren was an American attorney best known as one of the former husbands of Hungarian-American socialite and actress Magda Gabor.
  • B. Sidney Wicks
    Sidney Wicks is a former American professional basketball player, best known as a four-time NBA All-Star forward in the 1970s, primarily with the Portland Trail Blazers.
  • C. Sidney James
    Sidney James was a British character actor and comedian best known for his roles in the "Carry On" film series and his distinctive gravelly laugh.
  • D. Sidney Ward
    Sidney Ward is a municipal ward within the city of Quinte West in Ontario, Canada, represented on the local city council.
  • E. Sidney Bliss
    Sidney Bliss is a comically lecherous and bumbling dating agency owner from the British "Carry On" film series, notably appearing in the film "Carry On Loving."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e30a96081909b8511d525518da1 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.