Triple
T35709410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un bon bock |
E1031810
|
entity |
| Predicate | hasLivePerformanceComponent |
P197891
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Un bon bock, hasLivePerformanceComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLivePerformanceComponent Context triple: [Un bon bock, hasLivePerformanceComponent, true]
-
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.
hasLivePerformanceOrigin
Indicates that something originates from, or is derived from, a live performance event.
-
D.
hasLivePerformanceStyle
Indicates that an entity is associated with a particular style or manner of live performance.
-
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. 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
| PDg | Predicate description generation | batch_69feb5e50a7481908d6bff55bd85e06d |
completed | May 9, 2026, 4:19 a.m. |
Created at: May 3, 2026, 4:05 p.m.