Triple

T21302260
Position Surface form Disambiguated ID Type / Status
Subject Eric Sigler E525096 entity
Predicate coAuthorWith P398 FINISHED
Object Jeffrey Wu 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: Jeffrey Wu | Statement: [Eric Sigler, coAuthorWith, Jeffrey Wu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Wu
Context triple: [Eric Sigler, coAuthorWith, Jeffrey Wu]
  • A. Jeffrey Wu chosen
    Jeffrey Wu is a researcher in artificial intelligence and machine learning, known for his contributions to large language models and few-shot learning.
  • B. Andrew Kuan
    Andrew Kuan is a Singaporean businessman and former public figure known for his involvement in corporate governance and a high-profile, but ultimately unsuccessful, bid to run for the Singapore presidency.
  • C. Calvin Wong
    Calvin Wong is a television producer best known for his executive production work on the animated series "Close Enough."
  • D. Andrew Hsia
    Andrew Hsia is a Taiwanese politician and diplomat known for serving in senior cross-strait and foreign affairs roles, including leadership positions in Taiwan’s Mainland policy and its foreign ministry.
  • E. Allan Wu
    Allan Wu is a Singaporean-American actor and television host best known for hosting multiple Asian editions of "The Amazing Race."
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.