Triple
T30622445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come On In the Room |
E779484
|
entity |
| Predicate | hasCallAndResponseResponder |
P2278
|
FINISHED |
| Object | choir |
—
|
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: choir | Statement: [Come On In the Room, hasCallAndResponseResponder, choir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallAndResponseResponder Context triple: [Come On In the Room, hasCallAndResponseResponder, choir]
-
A.
hasCallAndResponseStructure
Indicates that one element initiates a call and another element provides a corresponding response, forming a paired, back-and-forth structural pattern.
-
B.
hasResponderMessageCount
Indicates the number of messages sent by the responder in a given interaction or conversation.
-
C.
respondsTo
chosen
Indicates that one entity replies or reacts to a message, action, or stimulus originating from another entity.
-
D.
assumesResponderStaticKey
Indicates that one party operates under the assumption that the responder’s cryptographic key remains fixed and does not change over time.
-
E.
hasCall
Indicates that one entity initiates or participates in a telephone or voice communication with another entity.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 29, 2026, 8:27 p.m.