Triple
T20474618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prez |
E502277
|
entity |
| Predicate | bearerNotableCollaboration |
P140236
|
FINISHED |
| Object | recordings with Billie Holiday |
—
|
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: recordings with Billie Holiday | Statement: [Prez, bearerNotableCollaboration, recordings with Billie Holiday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerNotableCollaboration Context triple: [Prez, bearerNotableCollaboration, recordings with Billie Holiday]
-
A.
notableCollaboration
Indicates a significant joint effort or partnership between entities that produced a noteworthy shared outcome or work.
-
B.
hasNotableCollaborationType
Indicates a specific kind or category of significant collaborative relationship that exists between entities.
-
C.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
D.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
E.
collaborationAt
Indicates that two or more entities are working together or jointly engaged in an activity, project, or context at a specific place, organization, or event.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699639eec81908f8bd24877b2b876 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:33 a.m.