Triple

T18078138
Position Surface form Disambiguated ID Type / Status
Subject Edgar Ross E432610 entity
Predicate worksWith P398 FINISHED
Object Archer Fordham NE NERFINISHED

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: Archer Fordham | Statement: [Edgar Ross, worksWith, Archer Fordham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archer Fordham
Context triple: [Edgar Ross, worksWith, Archer Fordham]
  • A. Archer Fordham chosen
    Archer Fordham is a government agent in the Red Dead Redemption video game series who serves as a key representative of federal law enforcement and a handler for protagonist John Marston.
  • B. Peter Archer
    Peter Archer is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Archer.
  • C. Sidney Archer
    Sidney Archer is the intelligent and resourceful corporate executive protagonist of David Baldacci’s political thriller novel "Total Control."
  • D. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • E. Guy W. Talbot
    Guy W. Talbot was an Oregon businessman and civic leader whose contributions to the region led to a state park being named in his honor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:26 a.m.