Triple
T21463918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Naughton |
E529542
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Naughton |
—
|
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: Naughton | Statement: [David Naughton, familyName, Naughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naughton Context triple: [David Naughton, familyName, Naughton]
-
A.
Naughton
chosen
Naughton is a Scottish surname associated as a sept with Clan MacNaughton, reflecting shared ancestry and historical ties to this Highland clan.
-
B.
O'Callaghan
O'Callaghan is an Irish surname commonly associated with notable figures in sports, politics, and the arts.
-
C.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
-
D.
Killoscully
Killoscully is a small rural village in Ireland known for its scenic countryside and traditional community character.
-
E.
O’Donoghue
O’Donoghue is an Irish surname historically associated with several Gaelic families and clans, particularly in County Kerry and surrounding regions.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f100fc819093999018f7d78443 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.