Triple
T23824623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionne Warwick and Luther Vandross |
E589332
|
entity |
| Predicate | sharedActivity |
P107906
|
FINISHED |
| Object | recording studio duets |
—
|
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: recording studio duets | Statement: [Dionne Warwick and Luther Vandross, sharedActivity, recording studio duets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedActivity Context triple: [Dionne Warwick and Luther Vandross, sharedActivity, recording studio duets]
-
A.
sharesActivity
chosen
Indicates that two or more entities participate in the same activity or engage in a common action or pastime.
-
B.
associatedActivity
Indicates that one entity is linked to, involved in, or characterized by a particular activity or set of activities.
-
C.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
D.
sharesEventWith
Indicates that two entities participate in, are associated with, or are linked through the same event.
-
E.
sharesActorWith
Indicates that two entities are associated with at least one of the same actors (e.g., performers or participants) in common.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f04bdc8190842a287a86b60d3a |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8 p.m.