Triple

T16676026
Position Surface form Disambiguated ID Type / Status
Subject The Cure E405217 entity
Predicate notableWork P4 FINISHED
Object Pornography E1015845 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: Pornography | Statement: [The Cure, notableWork, Pornography]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pornography
Context triple: [The Cure, notableWork, Pornography]
  • A. Pornography chosen
    Pornography is a 2007 stage play by British playwright Simon Stephens that interweaves multiple Londoners’ lives around the time of the 7/7 bombings.
  • B. Lovefilm
    Lovefilm is a 1970 Hungarian drama film directed by István Szabó that explores memory, love, and the impact of war on personal relationships.
  • C. Not a Love Story: A Film About Pornography
    Not a Love Story: A Film About Pornography is a 1981 Canadian documentary that critically examines the pornography industry and its impact on women and society.
  • D. NSFW
    NSFW is a satirical stage play by British playwright Lucy Kirkwood that explores media ethics, exploitation, and tabloid culture within a glossy men’s magazine office.
  • E. Green Porno
    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.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.