Triple

T1437908
Position Surface form Disambiguated ID Type / Status
Subject Deep Throat (film) E30998 entity
Predicate producer P490 FINISHED
Object Gerard Damiano E232590 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: Gerard Damiano | Statement: [Deep Throat (film), producer, Gerard Damiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerard Damiano
Context triple: [Deep Throat (film), producer, Gerard Damiano]
  • A. Gerard Damiano chosen
    Gerard Damiano was an American adult film director best known for pioneering the mainstream crossover of pornography with his 1972 film "Deep Throat."
  • B. Robert Salerno
    Robert Salerno is an American film producer known for his work on acclaimed independent films, including collaborations with directors like Tom Ford and Jim Jarmusch.
  • C. Dominick Pangallo
    Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
  • D. Greg D'Auria
    Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
  • E. Robert Frasca
    Robert Frasca was an American architect known for his influential urban and civic designs, particularly in the Pacific Northwest.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5059ef88190af20e796acdb2058 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d78933c81908359b0010b9e6147 completed March 9, 2026, 5:41 a.m.
Created at: March 1, 2026, 8 p.m.