Triple

T17035901
Position Surface form Disambiguated ID Type / Status
Subject Florence E413319 entity
Predicate leadDesigner P28525 FINISHED
Object Ken Wong E1245932 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: Ken Wong | Statement: [Florence, leadDesigner, Ken Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Wong
Context triple: [Florence, leadDesigner, Ken Wong]
  • A. Ken Wong chosen
    Ken Wong is an Australian video game artist and designer best known for his work on the acclaimed puzzle game Monument Valley.
  • B. Ronny Chieng
    Ronny Chieng is a Malaysian-born comedian and actor best known as a correspondent on The Daily Show and for co-writing and starring in the sitcom Ronny Chieng: International Student.
  • C. Kenny Wong
    Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
  • D. Charlie Wu
    Charlie Wu is a fictional character from the "Crazy Rich Asians" series, known as Astrid Leong’s wealthy and charming ex-boyfriend.
  • E. Alan Yang
    Alan Yang is an American television writer, producer, and director best known for co-creating the acclaimed series "Master of None" and his work on shows like "Parks and Recreation."
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f26f50819085dfd0fbecd6394d completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012338a95c8190951db96209edb61a completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.