Triple

T2714893
Position Surface form Disambiguated ID Type / Status
Subject Turandot E59944 entity
Predicate character P662 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: [Turandot, character, Pang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pang
Context triple: [Turandot, character, Pang]
  • A. Pang chosen
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • B. Poh Pitu
    Poh Pitu was an early capital city of the Medang Kingdom, an ancient Javanese Hindu-Buddhist polity in what is now Indonesia.
  • C. Pallini
    Pallini is a suburban town in the Athens metropolitan area of Greece that serves as an administrative and residential hub in East Attica.
  • D. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • E. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68a3cb881909fd29018154ae4d3 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.