Triple
T9094269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Warfield |
E217974
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Warfield |
E295197
|
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: Warfield | Statement: [Paul Warfield, familyName, Warfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warfield Context triple: [Paul Warfield, familyName, Warfield]
-
A.
Warfield
chosen
Warfield is a village and civil parish in Berkshire, England, situated within the unitary authority area of Bracknell Forest.
-
B.
Winfield
Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
-
C.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
D.
Fort John
Fort John was the original name of Fort Laramie, a key 19th-century U.S. Army post and trading hub along the Oregon Trail in present-day Wyoming.
-
E.
Cedar Hill
Cedar Hill is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its natural landscapes and proximity to Joe Pool Lake and Cedar Hill State Park.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01803b0288190a86b544892d4b6ed |
completed | April 3, 2026, 7:41 p.m. |
Created at: March 30, 2026, 7:14 p.m.