Triple

T12425628
Position Surface form Disambiguated ID Type / Status
Subject Expend4bles E296890 entity
Predicate hasCastMember P2308 FINISHED
Object Kenny Leu E980588 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: Kenny Leu | Statement: [Expend4bles, hasCastMember, Kenny Leu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenny Leu
Context triple: [Expend4bles, hasCastMember, Kenny Leu]
  • A. Kenny Wong chosen
    Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
  • B. Kenton Lee
    Kenton Lee is a natural language processing researcher best known for leading the development of ELMo contextual word embeddings at Allen Institute for AI.
  • C. Jake E. Lee
    Jake E. Lee is an American hard rock and heavy metal guitarist best known for his work with Ozzy Osbourne in the 1980s and as the founder of the band Badlands.
  • D. Kenny Ploen
    Kenny Ploen is a former Canadian Football League quarterback best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the late 1950s and early 1960s.
  • E. Bryan Oh
    Bryan Oh is a television writer and producer best known for his work on series such as "Heroes" and "Chicago Fire."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0265fc81909a6288d11b78c2f9 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.