Triple

T17889889
Position Surface form Disambiguated ID Type / Status
Subject Bad Dreams E447286 entity
Predicate castMember P1668 FINISHED
Object Bruce Abbott NE NERFINISHED

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: Bruce Abbott | Statement: [Bad Dreams, castMember, Bruce Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Abbott
Context triple: [Bad Dreams, castMember, Bruce Abbott]
  • A. Bruce Abbott chosen
    Bruce Abbott is an American actor best known for his roles in science fiction and horror films such as the "Re-Animator" series and the TV show "Dark Justice."
  • B. Philip Abbott
    Philip Abbott was an American character actor best known for his extensive work in film and television from the 1950s through the 1980s.
  • C. Richard Abbott
    Richard Abbott is a central bisexual character in John Irving’s novel "In One Person," whose experiences explore themes of sexual identity and social marginalization.
  • D. Richard Abbott
    Richard Abbott was the husband of American character actress Sara Haden, known for her numerous supporting roles in classic Hollywood films.
  • E. Billy Abbott
    Billy Abbott is the bisexual writer and actor who serves as the introspective, shape-shifting protagonist of John Irving’s novel "In One Person."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7828b481909b645fceb37a7ca3 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.