Triple

T4609365
Position Surface form Disambiguated ID Type / Status
Subject Road to Morocco E100516 entity
Predicate storyBy P1955 FINISHED
Object Frank Butler E456160 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: Frank Butler | Statement: [Road to Morocco, storyBy, Frank Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Butler
Context triple: [Road to Morocco, storyBy, Frank Butler]
  • A. Frank Butler chosen
    Frank Butler was an American screenwriter and actor best known for his work on classic Hollywood films, including co-writing the Oscar-winning screenplay for "Going My Way."
  • B. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • C. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • D. David Buttolph
    David Buttolph was an American film composer and arranger known for scoring numerous Hollywood movies from the 1930s through the 1950s.
  • E. Frank Thornton
    Frank Thornton was an English actor and comedian best known for his role as the pompous floorwalker Captain Peacock in the long-running British sitcom "Are You Being Served?".
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599f08d88190ad4bed8bafb592cd completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03521a9481908073d50221c80d63 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.