Triple

T16647925
Position Surface form Disambiguated ID Type / Status
Subject Ida Lupino E404523 entity
Predicate spouse P13 FINISHED
Object Howard Duff E230466 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: Howard Duff | Statement: [Ida Lupino, spouse, Howard Duff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Duff
Context triple: [Ida Lupino, spouse, Howard Duff]
  • A. Howard Duff chosen
    Howard Duff was an American actor known for his work in film, radio, and television, including notable roles in classic noir and mid-20th-century dramas.
  • B. June Winchell
    June Winchell was the wife of influential American newspaper and radio gossip columnist Walter Winchell.
  • C. Hamilton MacFadden
    Hamilton MacFadden was an American film director and actor active in early Hollywood, known for his work in the 1930s studio system.
  • D. Broderick Crawford
    Broderick Crawford was an American actor best known for his Academy Award-winning role in the film "All the King's Men" and for starring in the television series "Highway Patrol."
  • E. Joseph W. Young
    Joseph W. Young was an American real estate developer and city planner best known for creating and developing the planned community of Hollywood, Florida, in the early 20th century.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad66fe88190be582b81719f2ac1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.