Triple
T22850622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shumang Leela |
E566345
|
entity |
| Predicate | audienceArrangement |
P2362
|
FINISHED |
| Object | surrounding the performers |
—
|
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: surrounding the performers | Statement: [Shumang Leela, audienceArrangement, surrounding the performers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceArrangement Context triple: [Shumang Leela, audienceArrangement, surrounding the performers]
-
A.
audienceSetting
Indicates the context or environment in which an audience is situated or addressed.
-
B.
arrangementType
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
-
C.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
D.
audienceComposition
Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
-
E.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb8b3588190b2bc8e7021f9ef10 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.