Triple
T11124004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What'd I Say |
E263087
|
entity |
| Predicate | hasCallAndResponseSectionLength |
P61783
|
FINISHED |
| Object | extended |
—
|
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: extended | Statement: [What'd I Say, hasCallAndResponseSectionLength, extended]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallAndResponseSectionLength Context triple: [What'd I Say, hasCallAndResponseSectionLength, extended]
-
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.
hasSectionLength
chosen
Indicates that an entity is associated with a specific length value for one of its sections.
-
C.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
D.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
E.
hasSpecificationSection
Indicates that an entity includes or is associated with a particular section dedicated to specifications.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.