Triple
T37343052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Encounter |
E927095
|
entity |
| Predicate | audienceRequirement |
P187750
|
FINISHED |
| Object | wear headphones during 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: wear headphones during performance | Statement: [The Encounter, audienceRequirement, wear headphones during performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceRequirement Context triple: [The Encounter, audienceRequirement, wear headphones during performance]
-
A.
audienceSetting
Indicates the context or environment in which an audience is situated or addressed.
-
B.
audienceAccess
Indicates that one entity has permission or ability to access, view, or engage with a particular audience associated with another entity.
-
C.
audienceComposition
Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
-
D.
hasAudienceLevel
Indicates that something is intended for, suitable for, or targeted at an audience with a specific level of knowledge, experience, or proficiency.
-
E.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.