Triple
T2696887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Jaleo |
E58531
|
entity |
| Predicate | backgroundFeature |
P37670
|
FINISHED |
| Object | musicians seated in shadow |
—
|
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: musicians seated in shadow | Statement: [El Jaleo, backgroundFeature, musicians seated in shadow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backgroundFeature Context triple: [El Jaleo, backgroundFeature, musicians seated in shadow]
-
A.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
B.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
C.
iconicFeature
chosen
Indicates that something serves as a distinctive, widely recognized characteristic or symbol of another entity.
-
D.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
-
E.
featureOfInterest
Indicates the entity or object that is the primary subject or focus of the described observation, measurement, or analysis.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda3112108190a5e49c13368cf83f |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.