Triple

T3621959
Position Surface form Disambiguated ID Type / Status
Subject A Wedding E76746 entity
Predicate hasCastMember P2308 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: [A Wedding, hasCastMember, Howard Duff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Duff
Context triple: [A Wedding, hasCastMember, 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. Hamilton MacFadden
    Hamilton MacFadden was an American film director and actor active in early Hollywood, known for his work in the 1930s studio system.
  • C. 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."
  • D. 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.
  • E. Warren William
    Warren William was an American stage and film actor of the 1930s, best known for his suave, often morally ambiguous leading and supporting roles in Hollywood pre-Code dramas and mysteries.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.