Triple

T16252158
Position Surface form Disambiguated ID Type / Status
Subject Doc E394535 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Lee Chong E394537 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: Lee Chong | Statement: [Doc, hasRelationshipWith, Lee Chong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Chong
Context triple: [Doc, hasRelationshipWith, Lee Chong]
  • A. Lee Chong chosen
    Lee Chong is the pragmatic and good-natured Chinese grocer in John Steinbeck’s novel "Cannery Row," known for running the local grocery store that serves as a social hub for the community.
  • B. Sim Wong Hoo
    Sim Wong Hoo was a Singaporean entrepreneur best known as the founder and longtime CEO of Creative Technology, a pioneering company in PC audio and digital entertainment products.
  • C. Lim Jock Hoi
    Lim Jock Hoi is a Bruneian diplomat who served as the 14th Secretary-General of the Association of Southeast Asian Nations (ASEAN).
  • D. Chow Shiu-hung
    Chow Shiu-hung is an individual notable for bearing the Chinese surname Chow, recognized in records of people with this family name.
  • E. Ling Woo
    Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.