Triple

T10426352
Position Surface form Disambiguated ID Type / Status
Subject Armageddon (1998 film) E245798 entity
Predicate stars P1956 FINISHED
Object Will Patton E120487 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: Will Patton | Statement: [Armageddon (1998 film), stars, Will Patton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Patton
Context triple: [Armageddon (1998 film), stars, Will Patton]
  • A. Will Patton chosen
    Will Patton is an American actor known for his versatile character roles in film and television, including prominent parts in projects like "Remember the Titans," "Armageddon," and "Falling Skies."
  • B. Audie Murphy
    Audie Murphy was one of the most decorated American combat soldiers of World War II who later became a popular Hollywood actor and a symbol of military heroism.
  • C. Burn Hugh Gorman
    Burn Hugh Gorman is a British-American actor and musician known for his roles in series like "Torchwood" and films such as "Pacific Rim."
  • D. Fitz Patton
    Fitz Patton is an acclaimed American sound designer and composer known for his work on numerous Broadway and Off-Broadway productions.
  • E. Alan Kane
    Alan Kane is a British contemporary artist known for his collaborative and often humorous explorations of everyday culture and vernacular creativity.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea498ab08190b451c0b257c0711b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2b50b48190b1d5b29d19a240c2 completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:12 p.m.