Triple

T2294734
Position Surface form Disambiguated ID Type / Status
Subject David O. Selznick E51584 entity
Predicate spouse P13 FINISHED
Object Jennifer Jones E224461 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: Jennifer Jones | Statement: [David O. Selznick, spouse, Jennifer Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Jones
Context triple: [David O. Selznick, spouse, Jennifer Jones]
  • A. Jennifer Jones chosen
    Jennifer Jones was an Academy Award–winning American actress known for her emotionally intense performances in classic films from the 1940s through the 1970s.
  • B. Shirley Jones
    Shirley Jones is an American actress and singer best known for her roles in classic musical films and as the matriarch in the television series "The Partridge Family."
  • C. Karen O’Brien
    Karen O’Brien is a British academic and university leader who serves as Vice-Chancellor of Durham University, overseeing its strategic direction and academic mission.
  • D. Jane Wyatt
    Jane Wyatt was an American actress best known for her roles in the film "Gentleman's Agreement" and the television series "Father Knows Best."
  • E. Jean Simmons
    Jean Simmons was a British actress acclaimed for her versatile performances in classic films from the 1940s through the 1960s, including major roles in both British cinema and Hollywood epics.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5da667881909186adf23a2bd45b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea870018481908780ba79a0ddd5c7 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:49 p.m.