Triple

T2523210
Position Surface form Disambiguated ID Type / Status
Subject Valencia CF E55571 entity
Predicate owner P347 FINISHED
Object Peter Lim E150479 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: Peter Lim | Statement: [Valencia CF, owner, Peter Lim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Lim
Context triple: [Valencia CF, owner, Peter Lim]
  • A. Peter Lim chosen
    Peter Lim is a Singaporean billionaire businessman and investor known for his major stakes in football clubs and diverse global investments.
  • B. Victor Wong
    Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
  • C. Konrad Ng
    Konrad Ng is a Canadian-American scholar and former director of the Smithsonian Asian Pacific American Center, known also as the husband of Maya Soetoro-Ng, Barack Obama’s half-sister.
  • D. Gerald Chan
    Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
  • E. Anthony Tan
    Anthony Tan is a Malaysian entrepreneur best known as the co-founder and CEO of Grab, Southeast Asia’s leading super-app for ride-hailing, deliveries, and digital financial services.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba96a0c819091efd6d4ccf95ea5 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.