Triple

T7354054
Position Surface form Disambiguated ID Type / Status
Subject The Girl Who Had Everything E169577 entity
Predicate starring P1507 FINISHED
Object Gig Young E583304 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: Gig Young | Statement: [The Girl Who Had Everything, starring, Gig Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gig Young
Context triple: [The Girl Who Had Everything, starring, Gig Young]
  • A. Gig Young chosen
    Gig Young was an American film, television, and stage actor known for his suave, often cynical supporting roles and his Academy Award-winning performance in "They Shoot Horses, Don't They?".
  • B. Ivor Claire
    Ivor Claire is a central, morally complex army officer in Evelyn Waugh’s *Sword of Honour* trilogy, whose actions and choices embody the themes of honor, duty, and betrayal in wartime.
  • C. Frank Muir
    Frank Muir was a British comedy writer and broadcaster known for his witty contributions to radio and television panel shows and for co-creating several classic British sitcoms.
  • D. Bert Whalley
    Bert Whalley was an English football coach and former player for Manchester United who tragically died in the 1958 Munich air disaster.
  • E. Leo Genn
    Leo Genn was a British actor and barrister known for his distinguished, authoritative screen presence in mid-20th-century films.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa9dfbac8190993c866cda169633 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.