Triple

T19634097
Position Surface form Disambiguated ID Type / Status
Subject Tom B. Brown E471343 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: [Tom B. Brown, coAuthorWith, Jeffrey Wu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Wu
Context triple: [Tom B. Brown, 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. 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.
  • D. Allan Wu
    Allan Wu is a Singaporean-American actor and television host best known for hosting multiple Asian editions of "The Amazing Race."
  • E. William Li
    William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64104ff2881908fec49b7fba5a2e6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.