Triple

T10512450
Position Surface form Disambiguated ID Type / Status
Subject Love and Hisses E247948 entity
Predicate hasCastMember P2308 FINISHED
Object Douglas Fowley E562681 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: Douglas Fowley | Statement: [Love and Hisses, hasCastMember, Douglas Fowley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Fowley
Context triple: [Love and Hisses, hasCastMember, Douglas Fowley]
  • A. Douglas Fowley chosen
    Douglas Fowley was an American character actor best known for his prolific work in film and television from the 1930s through the 1970s, including a memorable role as the harried film director in "Singin' in the Rain."
  • B. Douglas Camfield
    Douglas Camfield was a British television director best known for his work on numerous classic Doctor Who serials and other BBC dramas during the 1960s and 1970s.
  • C. Ted Daughety
    Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
  • D. Douglas Wick
    Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
  • E. Douglas Pike
    Douglas Pike was a prominent American diplomat and scholar known for his influential analyses of the Viet Cong and the Vietnam War.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525100e108190b4f6949695c7156e completed April 19, 2026, 6:55 p.m.
Created at: April 6, 2026, 12:27 p.m.