Triple

T17544330
Position Surface form Disambiguated ID Type / Status
Subject Animals Distract Me E427284 entity
Predicate relatedWork P37 FINISHED
Object Green Porno NE NERFINISHED

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: Green Porno | Statement: [Animals Distract Me, relatedWork, Green Porno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Porno
Context triple: [Animals Distract Me, relatedWork, Green Porno]
  • A. Green Porno chosen
    Green Porno is a quirky, educational short film series created and performed by Isabella Rossellini that humorously explores and reenacts the mating habits of various animals.
  • B. Pornography
    Pornography is a 2007 stage play by British playwright Simon Stephens that interweaves multiple Londoners’ lives around the time of the 7/7 bombings.
  • C. Lovefilm
    Lovefilm is a 1970 Hungarian drama film directed by István Szabó that explores memory, love, and the impact of war on personal relationships.
  • D. Men of Porn
    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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454609bdc8190b81b362906e7e3fd completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.