Triple

T3313507
Position Surface form Disambiguated ID Type / Status
Subject Sleepy Hollow (TV series) E69626 entity
Predicate executiveProducer P7225 FINISHED
Object Phillip Iscove E393114 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: Phillip Iscove | Statement: [Sleepy Hollow (TV series), executiveProducer, Phillip Iscove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phillip Iscove
Context triple: [Sleepy Hollow (TV series), executiveProducer, Phillip Iscove]
  • A. Phillip Iscove chosen
    Phillip Iscove is a television writer and producer best known for creating and developing the supernatural drama series "Sleepy Hollow."
  • B. Phil Wenneck
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • C. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • D. Jeffrey Paley
    Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b511f9d8dc8190bc3728e75dec1059 completed March 14, 2026, 7:44 a.m.
Created at: March 8, 2026, 3:11 p.m.