Triple
T13510492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnulf de Montgomery |
E321126
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Montgomery |
E194744
|
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: de Montgomery | Statement: [Arnulf de Montgomery, familyName, de Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Montgomery Context triple: [Arnulf de Montgomery, familyName, de Montgomery]
-
A.
de Montgomery
chosen
De Montgomery is a Norman noble family name historically associated with influential medieval lords in England and Normandy.
-
B.
Burkley
Burkley is a surname most notably associated with American character actor Dennis Burkley.
-
C.
Huston
Huston is a surname most famously associated with a prominent American film family that includes acclaimed director John Huston and actress Anjelica Huston.
-
D.
Overton
Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
-
E.
Monro
Monro is a variant spelling of the Scottish surname Munro, historically associated with a Highland clan from Easter Ross.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.