Triple

T15600424
Position Surface form Disambiguated ID Type / Status
Subject Big Trouble in Little China E375014 entity
Predicate antagonist P4675 FINISHED
Object Lo Pan E892943 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: Lo Pan | Statement: [Big Trouble in Little China, antagonist, Lo Pan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lo Pan
Context triple: [Big Trouble in Little China, antagonist, Lo Pan]
  • A. Lo Pan chosen
    Lo Pan is the ancient, malevolent sorcerer and primary antagonist in the cult classic film "Big Trouble in Little China."
  • B. Blanquillos
    Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
  • C. La Sele
    La Sele is the popular nickname for Costa Rica’s national football team, known for its passionate fan base and memorable World Cup performances.
  • D. De Los Reyes
    De Los Reyes is a Spanish-language surname commonly borne by individuals of Hispanic heritage.
  • E. Plazzola
    Plazzola is a small locality within the Alpine municipality of Valfurva in northern Italy.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56cf8e5c8190bf13114ab0a834de completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.