Triple

T3197197
Position Surface form Disambiguated ID Type / Status
Subject Spellbound E66961 entity
Predicate castMember P1668 FINISHED
Object Norman Lloyd E12322 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: Norman Lloyd | Statement: [Spellbound, castMember, Norman Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Lloyd
Context triple: [Spellbound, castMember, Norman Lloyd]
  • A. Norman Lloyd chosen
    Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
  • B. Sam Fields
    Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
  • C. 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.
  • D. David Purviance
    David Purviance was an early 19th-century American Presbyterian minister and reformer who played a key role in the Stone-Campbell Restoration Movement.
  • E. Pat Hingle
    Pat Hingle was an American character actor known for his authoritative supporting roles in film, television, and theater, including his portrayal of Commissioner Gordon in the Batman film series.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2770201888190af6cbeded6d1ae56 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.