Triple

T20536885
Position Surface form Disambiguated ID Type / Status
Subject Daphne Trimble E504222 entity
Predicate familyName P18 FINISHED
Object Trimble 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: Trimble | Statement: [Daphne Trimble, familyName, Trimble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trimble
Context triple: [Daphne Trimble, familyName, Trimble]
  • A. Trimble chosen
    Trimble is a surname of English and Irish origin borne by various notable individuals across politics, science, and the arts.
  • B. Trimble
    Trimble is a small village and municipality located in Athens County in the southeastern region of Ohio, United States.
  • C. Trimble’s Division
    Trimble’s Division was a Confederate infantry division in the American Civil War, best known for its role in the climactic assaults at the Battle of Gettysburg.
  • D. Landmark Graphics
    Landmark Graphics is a leading provider of software and technology services for the oil and gas industry, specializing in exploration, reservoir management, and production optimization solutions.
  • E. Autodesk
    Autodesk is a multinational software company best known for creating industry-standard tools for 3D design, engineering, and entertainment, including AutoCAD and Maya.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a28f2f1081908f656d790ff182ff completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.