Triple
T26494312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crises |
E669239
|
entity |
| Predicate | featuresLongFormComposition |
P187361
|
FINISHED |
| Object | Crises (title track) |
E1728218
|
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: Crises (title track) | Statement: [Crises, featuresLongFormComposition, Crises (title track)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLongFormComposition Context triple: [Crises, featuresLongFormComposition, Crises (title track)]
-
A.
featuresCompositionBy
Indicates that something includes or presents a composition created by a particular composer or creator.
-
B.
featuresComplexCompositions
Indicates that the subject includes or presents compositions that are intricate, multi-layered, or structurally sophisticated.
-
C.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
D.
featuresFormat
Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
-
E.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
- F. None of above. chosen
Provenance (5 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec0949788190854b810de2b8baf1 |
completed | May 23, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: April 27, 2026, 1:07 a.m.