Triple

T9574531
Position Surface form Disambiguated ID Type / Status
Subject Ellen Lee Zhou E231011 entity
Predicate knownAs P39 FINISHED
Object Ellen Zhou E231011 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: Ellen Zhou | Statement: [Ellen Lee Zhou, knownAs, Ellen Zhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Zhou
Context triple: [Ellen Lee Zhou, knownAs, Ellen Zhou]
  • A. Ellen Lee Zhou chosen
    Ellen Lee Zhou is a conservative social worker and community activist known for her long-shot campaigns for mayor of San Francisco, where she has promoted tough-on-crime and anti-establishment policies.
  • B. Angela Zhou
    Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
  • C. Caroline Zhang
    Caroline Zhang is an American figure skater known for her lyrical style, strong spins, and success on the international junior circuit in the late 2000s.
  • D. Amy Chiang
    Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
  • E. Aja Huang
    Aja Huang is a Taiwanese computer scientist and DeepMind researcher best known for his work on the AlphaGo project in artificial intelligence and computer Go.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99a94c788190a4bb5d2b676908ac completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152bf5c548190b6c33cc49e418ef7 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:05 p.m.