Triple

T9254381
Position Surface form Disambiguated ID Type / Status
Subject T2 Trainspotting E222404 entity
Predicate basedOn P98 FINISHED
Object Porno E247353 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: Porno | Statement: [T2 Trainspotting, basedOn, Porno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porno
Context triple: [T2 Trainspotting, basedOn, Porno]
  • A. Porno (novel) chosen
    "Porno" is Irvine Welsh's darkly comic sequel to "Trainspotting," revisiting its Edinburgh characters a decade later amid the world of the porn industry.
  • B. Pickelporno
    Pickelporno is an experimental short film by Swiss artist Pipilotti Rist, known for its sensual, surreal imagery and exploration of the female body and desire through a highly subjective camera perspective.
  • C. 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.
  • D. 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.
  • E. AVN
    AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b1f6bc81908115e22652d0c85e completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0780c9efc81909470e7c64e23ffed completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.