Triple

T3545768
Position Surface form Disambiguated ID Type / Status
Subject Eric Bana E74991 entity
Predicate notableWork P4 FINISHED
Object Dirty John E318521 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: Dirty John | Statement: [Eric Bana, notableWork, Dirty John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirty John
Context triple: [Eric Bana, notableWork, Dirty John]
  • A. Dirty John chosen
    Dirty John is a true-crime television series and podcast-based drama that chronicles a manipulative con man’s abusive relationships and their devastating consequences.
  • B. The Sinner
    The Sinner is a psychological crime drama television series that follows Detective Harry Ambrose as he investigates disturbing, seemingly inexplicable crimes, each unfolding over a season-long mystery.
  • C. Gone Girl
    Gone Girl is a 2014 psychological thriller film, based on Gillian Flynn’s novel, that follows the mysterious disappearance of a woman and the ensuing media frenzy and suspicion surrounding her husband.
  • D. The Good Nurse
    The Good Nurse is a 2022 crime drama film based on true events, following a compassionate nurse who helps expose a fellow nurse suspected of being a serial killer.
  • E. Tell No One
    Tell No One is a 2006 French thriller film, based on Harlan Coben’s novel, about a doctor who becomes entangled in a web of mystery and danger after receiving messages suggesting his murdered wife may still be alive.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be29b408190a8dba8c8ae2485a4 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.