Triple

T21843452
Position Surface form Disambiguated ID Type / Status
Subject Mr. Gao E539312 entity
Predicate marries P23691 FINISHED
Object Wei-Wei 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: Wei-Wei | Statement: [Mr. Gao, marries, Wei-Wei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei-Wei
Context triple: [Mr. Gao, marries, Wei-Wei]
  • A. Wei-Wei chosen
    Wei-Wei is a central character in Ang Lee’s film "The Wedding Banquet," a young Chinese woman who enters a marriage of convenience that becomes emotionally complicated.
  • B. Wei Wei Yong
    Wei Wei Yong is a supporting gymnast character in the 2006 sports comedy-drama film "Stick It," known for her energetic personality and comedic moments on the team.
  • C. Wei Hai Wei
    Wei Hai Wei was a former British-leased naval base and port on the northeastern coast of China, held from the late 19th to early 20th century as part of Britain’s Asian colonial presence.
  • D. Wei Fang
    Wei Fang is a skilled young warrior and central character in the film "Crouching Tiger, Hidden Dragon: Sword of Destiny," whose conflicted loyalties and past drive much of the story’s drama.
  • E. Wei Fang
    Wei Fang is a fictional character known primarily as the adversary of Hades Dai in their shared narrative universe.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.