Triple
T20623370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are 138 |
E506755
|
entity |
| Predicate | hasCallAndResponseElement |
P22739
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [We Are 138, hasCallAndResponseElement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallAndResponseElement Context triple: [We Are 138, hasCallAndResponseElement, true]
-
A.
hasCallAndResponseStructure
chosen
Indicates that one element initiates a call and another element provides a corresponding response, forming a paired, back-and-forth structural pattern.
-
B.
hasCall
Indicates that one entity initiates or participates in a telephone or voice communication with another entity.
-
C.
hasCallAndResponseVocals
Indicates that one entity produces vocalizations that are followed by corresponding or answering vocalizations from another entity.
-
D.
hasResponderMessageCount
Indicates the number of messages sent by the responder in a given interaction or conversation.
-
E.
hasCallingConvention
Indicates that a function or method uses a specific calling convention that defines how arguments are passed and results are returned.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3177c8190ad1b2ca8b1e0a560 |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:42 a.m.