Triple

T22368838
Position Surface form Disambiguated ID Type / Status
Subject ATL E552983 entity
Predicate mainCharacter P1183 FINISHED
Object New New 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: New New | Statement: [ATL, mainCharacter, New New]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New New
Context triple: [ATL, mainCharacter, New New]
  • A. New New chosen
    New New is the protagonist of the 2006 film "ATL," a coming-of-age drama set in Atlanta’s hip-hop and roller-skating culture.
  • B. New
    New is the respondent in the U.S. Supreme Court case Wilson v. New, which addressed federal authority over labor disputes in the railroad industry.
  • C. NEW
    NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
  • D. NEW
    NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
  • E. Nouvel
    Nouvel is a French surname most prominently associated with Jean Nouvel, the renowned contemporary architect known for his innovative and experimental building designs worldwide.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.