Triple
T28262502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Arreglito |
E712617
|
entity |
| Predicate | usedWithoutInitialRecognitionBy |
P166209
|
FINISHED |
| Object | Georges Bizet |
—
|
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: Georges Bizet | Statement: [El Arreglito, usedWithoutInitialRecognitionBy, Georges Bizet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithoutInitialRecognitionBy Context triple: [El Arreglito, usedWithoutInitialRecognitionBy, Georges Bizet]
-
A.
usedWithoutInitialLicenseIn
Indicates that something is being used within a particular context or location without having obtained the required initial license.
-
B.
notRecognizedBy
Indicates that one entity does not acknowledge, accept, or formally recognize the status, authority, or validity of another entity.
-
C.
neverSeenWithout
Indicates that one entity is always accompanied by another and is not observed in situations where the other is absent.
-
D.
notUsedAt
Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
-
E.
notAutomaticallyUsedBy
Indicates that something is not used by another entity in an automatic or default manner and instead requires explicit action or configuration to be used.
- F. None of above. chosen
Provenance (4 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 11:12 p.m.