Triple

T23290060
Position Surface form Disambiguated ID Type / Status
Subject Waterfront E589999 entity
Predicate hasCastMember P2308 FINISHED
Object John Sheehan 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: John Sheehan | Statement: [Waterfront, hasCastMember, John Sheehan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sheehan
Context triple: [Waterfront, hasCastMember, John Sheehan]
  • A. John Sheehan chosen
    John Sheehan was an actor known for his roles in early 20th-century American films, including the silent-era production "The Secret Code."
  • B. John C. Sheehan
    John C. Sheehan was an American organic chemist best known for achieving the first complete laboratory synthesis of penicillin.
  • C. Lawrence Konner
    Lawrence Konner is an American screenwriter known for his work on major film and television projects, including contributions to the Star Trek franchise.
  • D. Ron Duguay
    Ron Duguay is a former Canadian professional ice hockey forward best known for his NHL career with the New York Rangers and his distinctive long-haired look in the late 1970s and 1980s.
  • E. Jack O'Brien
    Jack O'Brien is the introspective eldest son whose childhood memories and spiritual questioning form the emotional core of Terrence Malick’s film "The Tree of Life."
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964a4c548190bda1e85b8d316e8a completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5:01 p.m.