Triple

T17260535
Position Surface form Disambiguated ID Type / Status
Subject Dale Crover E418995 entity
Predicate associatedAct P37 FINISHED
Object Men of Porn E1259351 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: Men of Porn | Statement: [Dale Crover, associatedAct, Men of Porn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Men of Porn
Context triple: [Dale Crover, associatedAct, Men of Porn]
  • A. Men of Porn chosen
    Men of Porn is an American experimental rock band known for its heavy, noise-influenced sound and association with drummer Dale Crover of the Melvins.
  • B. The Big Book of Porn
    The Big Book of Porn is a humorous, pop-culture-style reference book by Seth Grahame-Smith that explores the history, stars, and cultural impact of the adult entertainment industry.
  • C. Big Nudes
    Big Nudes is a famous series of large-format, provocative nude photographs by Helmut Newton that became iconic in fashion and art photography.
  • D. Niggy Nuts
    Niggy Nuts is a component or member associated with the entity referred to as the "G.O.A.T." (Greatest of All Time).
  • E. Don Jon
    Don Jon is a 2013 romantic comedy-drama film written and directed by Joseph Gordon-Levitt, following a New Jersey man's struggle to balance his porn addiction with real-life relationships.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e70b00c8190b0380be08afae18d completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179445cac8190833eb7cd879a93bd completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.