Triple

T11760611
Position Surface form Disambiguated ID Type / Status
Subject No Way to Treat a Lady E279644 entity
Predicate starring P1507 FINISHED
Object George Segal E179027 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: George Segal | Statement: [No Way to Treat a Lady, starring, George Segal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Segal
Context triple: [No Way to Treat a Lady, starring, George Segal]
  • A. George Segal
    George Segal was an American sculptor best known for his life-sized plaster cast figures placed in everyday urban settings, which became iconic works of the Pop Art movement.
  • B. George Segal chosen
    George Segal was an American actor known for his versatile performances in film and television, including roles in "Who's Afraid of Virginia Woolf?" and the sitcom "Just Shoot Me!".
  • C. Stanley Hoffman
    Stanley Hoffman is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Hoffman.
  • D. Elliott Gould
    Elliott Gould is an American actor known for his roles in films such as "M*A*S*H," "Bob & Carol & Ted & Alice," and the "Ocean's Eleven" series.
  • E. Martin Balsam
    Martin Balsam was an American character actor known for his versatile supporting roles in classic films such as "Psycho," "12 Angry Men," and "A Thousand Clowns," for which he won an Academy Award.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4174972ac819094f3938b18a5081e completed May 1, 2026, 3 a.m.
Created at: April 8, 2026, 9:41 p.m.