Triple

T21449073
Position Surface form Disambiguated ID Type / Status
Subject Bee Vang E529158 entity
Predicate name P16 FINISHED
Object Bee Vang E529158 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: Bee Vang | Statement: [Bee Vang, name, Bee Vang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bee Vang
Context triple: [Bee Vang, name, Bee Vang]
  • A. Bee Vang chosen
    Bee Vang is an American actor best known for his breakout role as Thao Vang Lor in Clint Eastwood’s film "Gran Torino."
  • B. Nouhak Phoumsavanh
    Nouhak Phoumsavanh was a prominent Laotian communist revolutionary and politician who served as President of Laos from 1992 to 1998.
  • C. Alvin Chea
    Alvin Chea is an American bass vocalist best known as a longtime member of the Grammy-winning a cappella gospel and jazz group Take 6.
  • D. Khieu Samphan
    Khieu Samphan is a Cambodian communist politician who served as head of state of Democratic Kampuchea under the Khmer Rouge and was later convicted of crimes against humanity for his role in the regime.
  • E. Kao Kim Hourn
    Kao Kim Hourn is a Cambodian diplomat and academic who serves as the Secretary-General of the Association of Southeast Asian Nations (ASEAN).
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c907cb9c8190b4a50551b274a915 completed May 17, 2026, 1:56 p.m.
Created at: April 16, 2026, 6:06 p.m.