Triple

T13634586
Position Surface form Disambiguated ID Type / Status
Subject Edward Daniels E325814 entity
Predicate fullName P16 FINISHED
Object Edward Daniels E325814 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 Daniels | Statement: [Edward Daniels, fullName, Edward Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Daniels
Context triple: [Edward Daniels, fullName, Edward Daniels]
  • A. Edward Daniels chosen
    Edward "Teddy" Daniels is the U.S. Marshal and psychologically complex protagonist of Dennis Lehane’s novel and Martin Scorsese’s film "Shutter Island."
  • B. Edward Edwards
    Edward Edwards was an 18th-century British naval officer best known for commanding HMS Pandora in the pursuit of the Bounty mutineers and for his Pacific explorations.
  • C. Louis Douglas
    Louis Douglas was an American dancer and choreographer active in early 20th-century European revues, noted for helping popularize African American performance styles abroad.
  • D. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • E. Edward Andrews
    Edward Andrews was an American character actor known for his prolific film and television work from the 1950s through the 1970s, often portraying affable yet officious authority figures.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06a3e208190a24e6cd9cb97e99c completed May 8, 2026, 2:17 p.m.
Created at: April 9, 2026, 9:51 p.m.