Triple

T20918708
Position Surface form Disambiguated ID Type / Status
Subject Rampart E515143 entity
Predicate producer P490 FINISHED
Object Ken Kao 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: Ken Kao | Statement: [Rampart, producer, Ken Kao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Kao
Context triple: [Rampart, producer, Ken Kao]
  • A. Ken Kao chosen
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • B. Lawrence Kao
    Lawrence Kao is an American actor best known for his roles in action and genre television series, including a prominent part in the Netflix martial-arts show "Wu Assassins."
  • C. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • D. 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.
  • E. Walter Cho
    Walter Cho is a South Korean business executive best known as the chairman and CEO of Korean Air and head of the Hanjin Group conglomerate.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec66593c819091ecf0c553e0aead completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.