Triple

T22298036
Position Surface form Disambiguated ID Type / Status
Subject Deng E551174 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Teng NE NERFINISHED

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: Teng | Statement: [Deng, hasVariantTransliteration, Teng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng
Context triple: [Deng, hasVariantTransliteration, Teng]
  • A. Teng chosen
    Teng is a Chinese surname borne by various notable historical and contemporary figures in China.
  • B. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • C. Tangsir
    Tangsir is a classic Iranian film, based on Sadegh Chubak’s novel, that portrays themes of honor, resistance, and social justice in southern Iran.
  • D. Tung
    Tung is a Chinese surname notably borne by Tung Chee-hwa, the first Chief Executive of the Hong Kong Special Administrative Region.
  • E. Tinku
    Tinku is a traditional Andean musical style rooted in Bolivian ritual combat festivals, characterized by energetic rhythms, communal singing, and indigenous instrumentation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572200c88190b9413286136fef15 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.