Triple
T29664810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do You Feel Like We Do |
E750498
|
entity |
| Predicate | hasLiveCrowdNoise |
P148389
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Do You Feel Like We Do, hasLiveCrowdNoise, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiveCrowdNoise Context triple: [Do You Feel Like We Do, hasLiveCrowdNoise, yes]
-
A.
hasLiveCrowdOutside
Indicates that there is a live, physically present crowd gathered outside a specified location or entity.
-
B.
hasCrowdLevel
Indicates the degree or intensity of how crowded a place, event, or situation is.
-
C.
hasLiveAudienceCapability
Indicates that an entity is capable of supporting or engaging with a live, in-person audience.
-
D.
includesAudienceNoise
chosen
Indicates that the event, recording, or media content contains audible sounds from the audience, such as reactions, applause, or background chatter.
-
E.
hasEventCrowdManagement
Indicates that an event includes or is associated with measures, plans, or activities for managing and controlling crowds.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 28, 2026, 7 p.m.