Triple

T7530228
Position Surface form Disambiguated ID Type / Status
Subject Knots Landing E178002 entity
Predicate executiveProducer P7225 FINISHED
Object Michael Filerman E68485 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: Michael Filerman | Statement: [Knots Landing, executiveProducer, Michael Filerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Filerman
Context triple: [Knots Landing, executiveProducer, Michael Filerman]
  • A. Michael Filerman chosen
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • B. Michael Gelman
    Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
  • C. Michael Gilio
    Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
  • D. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • E. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81fbd4c8190b8ffedf1dbbb43aa completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96c14aa588190a660de4e356a6b07 completed March 29, 2026, 6:14 p.m.
Created at: March 27, 2026, 3:47 p.m.