Triple

T12243276
Position Surface form Disambiguated ID Type / Status
Subject Act III (Turandot) E291786 entity
Predicate principalCharacter P9202 FINISHED
Object Pang E257324 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: Pang | Statement: [Act III (Turandot), principalCharacter, Pang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pang
Context triple: [Act III (Turandot), principalCharacter, Pang]
  • A. Pang chosen
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • B. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • C. Pacoh
    Pacoh is an Austroasiatic language spoken by the Pacoh people of Laos and central Vietnam, closely related to other Katuic languages.
  • D. Pai
    Pai is the given name of Peng Pai, a prominent early 20th-century Chinese revolutionary and pioneer of the peasant movement.
  • E. Polae
    Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346016848190ba864a3d46280c5a completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.