Triple
T19847872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William David Trimble |
E476918
|
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: [William David Trimble, familyName, Trimble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trimble Context triple: [William David 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580ba4948190a3260f23d011cc36 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.