Triple
T25656608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rabab |
E643252
|
entity |
| Predicate | playedInContext |
P99079
|
FINISHED |
| Object | solo performance |
—
|
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: solo performance | Statement: [rabab, playedInContext, solo performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInContext Context triple: [rabab, playedInContext, solo performance]
-
A.
playedInState
Indicates that an entity (typically a person or team) participated in games or competitions within a specified state.
-
B.
performedInContextOf
chosen
Indicates that an action or event was carried out within, and is meaningfully related to, a specific situational, procedural, or environmental context.
-
C.
playedWhile
Indicates that one activity or event occurred concurrently with another, with the second serving as the temporal context during which the first was performed.
-
D.
playedUnder
Indicates that one person participated as a player on a team or in a context where another person served as their coach or manager.
-
E.
hasBeenPlayedIn
Indicates that an entity (such as a song, video, or game) has been previously played or performed within a particular context or medium.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 6:34 p.m.