Triple

T10091769
Position Surface form Disambiguated ID Type / Status
Subject Lan Samantha Chang E215359 entity
Predicate familyName P18 FINISHED
Object Chang E792785 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: [Lan Samantha Chang, familyName, Chang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chang
Context triple: [Lan Samantha Chang, familyName, Chang]
  • A. Chang
    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 chosen
    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. Chu
    Chu was a powerful ancient Chinese state during the Spring and Autumn and Warring States periods, known for its distinctive culture, military strength, and significant role in early Chinese history.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05aa02081908fba02e7085c6d7c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.