Triple
T25652118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monteux family |
E643128
|
entity |
| Predicate | hasProfessionTradition |
P104544
|
FINISHED |
| Object | conductor |
—
|
LITERAL 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: conductor | Statement: [Monteux family, hasProfessionTradition, conductor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionTradition Context triple: [Monteux family, hasProfessionTradition, conductor]
-
A.
hasOccupationTradition
chosen
Indicates that an entity is associated with a customary or historically established occupation or professional role.
-
B.
hasProfessionTrait
Indicates that an entity possesses a particular characteristic, quality, or attribute specifically related to their profession or occupational role.
-
C.
basedOnTraditionOfWork
Indicates that something is derived from, influenced by, or follows the established tradition or body of work associated with another entity.
-
D.
hasTraditionIn
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
E.
hasStatusInTradition
Indicates that an entity holds a particular recognized status or standing within a specified tradition or traditional framework.
- F. None of above.
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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 21, 2026, 6:26 p.m.