Triple
T13724237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Thing |
E329111
|
entity |
| Predicate | hasLivePerformanceContext |
P106221
|
FINISHED |
| Object | performed on television shows |
—
|
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: performed on television shows | Statement: [One Thing, hasLivePerformanceContext, performed on television shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLivePerformanceContext Context triple: [One Thing, hasLivePerformanceContext, performed on television shows]
-
A.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
B.
livePerformanceContext
chosen
Indicates that an action or event occurs within the setting of a live performance, such as a concert, play, or other real-time staged presentation.
-
C.
hasLivePerformanceStyle
Indicates that an entity is associated with a particular style or manner of live performance.
-
D.
hasLivePerformanceReputation
Indicates that an entity is recognized or characterized by a particular reputation regarding the quality or nature of its live performances.
-
E.
hasPerformanceContext
Indicates that an entity is associated with a specific performance-related situation, setting, or set of conditions under which it operates or is evaluated.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.