Triple
T391024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Guilfoyle |
E8879
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Guilfoyle |
E8879
|
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: Guilfoyle | Statement: [Douglas Guilfoyle, familyName, Guilfoyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guilfoyle Context triple: [Douglas Guilfoyle, familyName, Guilfoyle]
-
A.
Guilfoyle
chosen
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
-
B.
Tyrone
Tyrone is a masculine given name of Irish origin, notably borne by the classic Hollywood actor Tyrone Power.
-
C.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
D.
Southery
Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
-
E.
Fergus Cullen
Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5d73e881909101308a583c8f13 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41772e19c8190b02a212f13b4d8aa |
completed | March 1, 2026, 10:39 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.