Triple

T13831586
Position Surface form Disambiguated ID Type / Status
Subject Desperate Housewives E332410 entity
Predicate executiveProducer P7225 FINISHED
Object Tom Spezialy E447664 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: Tom Spezialy | Statement: [Desperate Housewives, executiveProducer, Tom Spezialy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Spezialy
Context triple: [Desperate Housewives, executiveProducer, Tom Spezialy]
  • A. Tom Spezialy chosen
    Tom Spezialy is an American television writer and producer known for his work on acclaimed series such as Watchmen and Desperate Housewives.
  • B. Mitch Pileggi
    Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
  • C. Christopher Gattelli
    Christopher Gattelli is a Tony Award–winning American choreographer known for his dynamic work on Broadway musicals, including the stage adaptation of Disney’s "Newsies."
  • D. Kirk DeMicco
    Kirk DeMicco is an American screenwriter and film director best known for his work on animated features such as "The Croods."
  • E. Ted Briskin
    Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.