Triple
T20796998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish tercios |
E511937
|
entity |
| Predicate | recruitedFrom |
P4145
|
FINISHED |
| Object | Flemings |
—
|
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: Flemings | Statement: [Spanish tercios, recruitedFrom, Flemings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flemings Context triple: [Spanish tercios, recruitedFrom, Flemings]
-
A.
Flemings
chosen
Flemings are a Dutch-speaking ethnic group from the northern region of Belgium, primarily associated with Flanders and known for their distinct cultural and linguistic identity.
-
B.
Finnis
Finnis is a surname most notably associated with John Finnis, an influential legal philosopher known for his work on natural law theory.
-
C.
Gillanders
Gillanders is a Scottish surname associated as a sept with the Highland Clan Ross.
-
D.
Farguson
Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
-
E.
Flemyng
Flemyng is a surname most notably associated with English actor Jason Flemyng, known for his roles in films such as "Lock, Stock and Two Smoking Barrels" and "Snatch."
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ad6f0481909e0bab7119f10f9c |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.