Triple

T16095934
Position Surface form Disambiguated ID Type / Status
Subject G Men E390484 entity
Predicate starring P1507 FINISHED
Object Edward Pawley E526180 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: Edward Pawley | Statement: [G Men, starring, Edward Pawley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Pawley
Context triple: [G Men, starring, Edward Pawley]
  • A. Edward Pawley chosen
    Edward Pawley was an American actor known for his work in 1930s and 1940s films and radio dramas.
  • B. Andrew Pawley
    Andrew Pawley was a prominent linguist known for his influential work on Oceanic and Papuan languages, including the Northwest Solomonic group.
  • C. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • D. Ted Braitling
    Ted Braitling is the person after whom the locality of Braitling in the Northern Territory, Australia, is named, likely recognized for his significance in the region’s history or development.
  • E. Dan Garrett
    Dan Garrett is a Golden Age comic book superhero who originally operated as the first Blue Beetle, a costumed crimefighter empowered by a mystical scarab in later iterations.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1859283008190baac96142b5c7e53 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00077efdf48190ac26f433f6b17dbe completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:59 a.m.