Triple

T7904683
Position Surface form Disambiguated ID Type / Status
Subject Roger Rabbit E183541 entity
Predicate enemy P4567 FINISHED
Object Judge Doom E183543 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: Judge Doom | Statement: [Roger Rabbit, enemy, Judge Doom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judge Doom
Context triple: [Roger Rabbit, enemy, Judge Doom]
  • A. Judge Doom chosen
    Judge Doom is the sinister, cartoon-hating villain and secret mastermind of the plot in the live-action/animated film "Who Framed Roger Rabbit."
  • B. Jeremiah Danvers
    Jeremiah Danvers is a character in the Arrowverse TV series "Supergirl," known as Kara Danvers' adoptive father and a former DEO scientist.
  • C. Judge Mathis
    Judge Mathis is a long-running American arbitration-based reality court show featuring former Michigan judge Greg Mathis presiding over small-claims disputes.
  • D. Joseph Dredd
    Joseph Dredd is the iconic, hardline law-enforcement officer and main protagonist of the British science fiction comic series "Judge Dredd," set in the dystopian future city of Mega-City One.
  • E. Kilgrave
    Kilgrave is a Marvel Comics supervillain and primary antagonist in the Jessica Jones series, known for his terrifying ability to control minds.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a4331cc8190b50301c78767a850 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:02 p.m.