Triple

T4709116
Position Surface form Disambiguated ID Type / Status
Subject Sunset Boulevard E104464 entity
Predicate starring P1507 FINISHED
Object Hedda Hopper E457009 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: Hedda Hopper | Statement: [Sunset Boulevard, starring, Hedda Hopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hedda Hopper
Context triple: [Sunset Boulevard, starring, Hedda Hopper]
  • A. Hedda Hopper chosen
    Hedda Hopper was a prominent American gossip columnist and former actress, notorious for her influential and often fearsome Hollywood gossip column during the mid-20th century.
  • B. Walter Winchell
    Walter Winchell was a prominent American newspaper and radio gossip columnist whose influential, fast-paced style helped shape 20th-century celebrity journalism and public opinion.
  • C. Wanda Hutchins
    Wanda Hutchins is a German-born interior designer and the first wife of former NFL star and television personality Michael Strahan.
  • D. Ruth Wells
    Ruth Wells was the wife of three-time Academy Award–winning American character actor Walter Brennan.
  • E. Esther Bubley
    Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ed2ed081908cd52570ba085806 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10721b88819093be46bc5cae17c0 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:17 p.m.