Triple
T19396976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank S. Nugent |
E485216
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nugent |
—
|
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: Nugent | Statement: [Frank S. Nugent, familyName, Nugent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nugent Context triple: [Frank S. Nugent, familyName, Nugent]
-
A.
Nugent
chosen
Nugent is a surname of Irish origin historically associated with Anglo-Norman nobility and borne by various notable figures in politics, the arts, and public life.
-
B.
Nouster
Nouster is a small settlement on the Orkney island of North Ronaldsay in Scotland.
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
E.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.