Triple

T13393186
Position Surface form Disambiguated ID Type / Status
Subject Lost Horizon E319626 entity
Predicate mainCharacter P1183 FINISHED
Object Chang E321135 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: Chang | Statement: [Lost Horizon, mainCharacter, Chang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chang
Context triple: [Lost Horizon, mainCharacter, Chang]
  • A. Chang chosen
    Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
  • B. Chang
    Chang is a common Chinese surname shared by many individuals across the Chinese-speaking world.
  • C. Youchang
    Youchang is the courtesy name of Ma Su, a Shu Han military general who served under Zhuge Liang during China’s Three Kingdoms period.
  • D. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • E. Chon
    Chon is a former Navy SEAL and one of the two marijuana-growing protagonists in Oliver Stone’s crime thriller film "Savages."
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306fb8348190a325a07a1ac858fd completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.