Triple

T14830772
Position Surface form Disambiguated ID Type / Status
Subject Edgar Frederick Yost III E348694 entity
Predicate nickname P55 FINISHED
Object Ned E39199 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 | Statement: [Edgar Frederick Yost III, nickname, Ned]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ned
Context triple: [Edgar Frederick Yost III, nickname, Ned]
  • A. Ned chosen
    Ned is a common English diminutive form of the given name Edward.
  • B. Ned
    Ned is the pie-making protagonist of the whimsical TV series "Pushing Daisies," gifted with the power to temporarily bring the dead back to life with a single touch.
  • C. Ned
    Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
  • D. Ned
    Ned is the reflective former spy whose training-school recollections frame and narrate John le Carré’s novel *The Secret Pilgrim*.
  • E. Ned Trent
    Ned Trent is the protagonist of the thriller novel "The Specialist," known for his role as a skilled and determined operative navigating high-stakes danger.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.