Triple

T15206793
Position Surface form Disambiguated ID Type / Status
Subject Walter Connolly E363409 entity
Predicate name P16 FINISHED
Object Walter Connolly E363409 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: Walter Connolly | Statement: [Walter Connolly, name, Walter Connolly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Connolly
Context triple: [Walter Connolly, name, Walter Connolly]
  • A. Walter Connolly chosen
    Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
  • B. Walter Paterson
    Walter Paterson was an actor known for his role in the classic radio adventure series "I Love a Mystery."
  • C. J. M. Macdonnell
    J. M. Macdonnell was a Canadian academic and administrator who served as a chancellor at Carleton University.
  • D. Douglas Clifton Brown
    Douglas Clifton Brown was a British Conservative politician who served as Speaker of the House of Commons during the Second World War and the early postwar period.
  • E. Raymond Greenwood
    Raymond Greenwood is a central character in Fyodor Dostoevsky’s novella "White Nights," portrayed as a lonely, idealistic dreamer whose intense inner life contrasts with his isolation from society.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e9e2d8819086ca62ca6037dd1c completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:11 a.m.