Triple
T20518991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvain Sylvain and the Teardrops |
E503753
|
entity |
| Predicate | hasLivePerformanceFocus |
P123148
|
FINISHED |
| Object | club venues |
—
|
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: club venues | Statement: [Sylvain Sylvain and the Teardrops, hasLivePerformanceFocus, club venues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLivePerformanceFocus Context triple: [Sylvain Sylvain and the Teardrops, hasLivePerformanceFocus, club venues]
-
A.
hasLivePerformanceStatus
Indicates whether an entity’s live performance is occurring, scheduled, completed, or otherwise characterized by a specific performance status.
-
B.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
C.
hasLivePerformanceStyle
Indicates that an entity is associated with a particular style or manner of live performance.
-
D.
livePerformanceFocus
chosen
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in live performances as opposed to other formats or activities.
-
E.
hasLivePerformanceReputation
Indicates that an entity is recognized or characterized by a particular reputation regarding the quality or nature of its live performances.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f44b6ac8190a4f2f5244821c433 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.