Triple

T6635503
Position Surface form Disambiguated ID Type / Status
Subject The Man from the Diners' Club E150439 entity
Predicate starring P1507 FINISHED
Object Martha Hyer E241211 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: Martha Hyer | Statement: [The Man from the Diners' Club, starring, Martha Hyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Hyer
Context triple: [The Man from the Diners' Club, starring, Martha Hyer]
  • A. Martha Hyer chosen
    Martha Hyer was an American film actress best known for her roles in 1950s and 1960s Hollywood movies, including her Oscar-nominated performance in "Some Came Running."
  • B. Caroline Oates
    Caroline Oates is best known as the wife of American character actor Warren Oates, noted for his roles in numerous 1960s and 1970s films and television series.
  • C. Mary Davidson
    Mary Davidson is a family member of English actress and fashion designer Sadie Frost.
  • D. Tatiana Hurd
    Tatiana Hurd is the wife of British Conservative politician and former Foreign Secretary Douglas Hurd.
  • E. Samantha Albertson
    Samantha Albertson is one of the four childhood friends at the heart of the coming-of-age film "Now and Then," whose experiences during a pivotal summer shape the story’s emotional core.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcd9a608190a949eb55766d5701 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4518f4881909c0a56df993d2af6 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.