Triple

T13156254
Position Surface form Disambiguated ID Type / Status
Subject Paula Wagner E312597 entity
Predicate represented P192 FINISHED
Object Andrew Davis E660495 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: Andrew Davis | Statement: [Paula Wagner, represented, Andrew Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Davis
Context triple: [Paula Wagner, represented, Andrew Davis]
  • A. Andrew Davis chosen
    Andrew Davis is an American film director best known for action and adventure movies such as "The Fugitive" and the family film "Holes."
  • B. Andrew Davis
    Andrew Davis is a renowned British conductor celebrated for his leadership of major orchestras and opera companies, particularly in North America and the United Kingdom.
  • C. Ron Winston
    Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
  • D. David Shire
    David Shire is an American composer best known for his film and television scores, including acclaimed work in the 1970s.
  • E. Gordon Douglas
    Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf06f408190949f9ed5e899815b completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.