Triple

T10719710
Position Surface form Disambiguated ID Type / Status
Subject Ned Washington E252784 entity
Predicate name P16 FINISHED
Object Ned Washington E252784 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: Ned Washington | Statement: [Ned Washington, name, Ned Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ned Washington
Context triple: [Ned Washington, name, Ned Washington]
  • A. Ned Washington chosen
    Ned Washington was an American lyricist renowned for his work on classic film songs and popular standards in the mid-20th century.
  • B. Slimm Calhoun
    Slimm Calhoun is an American rapper from Atlanta best known for his work with the Dungeon Family collective and his early-2000s solo material.
  • C. Nathan Barksdale
    Nathan Barksdale was a notorious Baltimore drug dealer whose life and criminal career partially inspired the character Avon Barksdale on the television series "The Wire."
  • D. Ned McCaslin
    Ned McCaslin is a supporting character in William Faulkner’s novel "The Reivers," involved in the comic misadventures surrounding a stolen car and a trip from Mississippi to Memphis.
  • E. Don Galloway
    Don Galloway was an American actor best known for his role as Detective Sergeant Ed Brown on the television series "Ironside."
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9df306881908aef5c6e8b4e78dc completed April 12, 2026, 5:43 p.m.
Created at: April 8, 2026, 9:13 p.m.