Triple
T35273505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say What’s Real |
E1018733
|
entity |
| Predicate | hasInstrumentalOrigin |
P202157
|
FINISHED |
| Object | Say You Will |
—
|
NE NERFINISHED |
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: Say You Will | Statement: [Say What’s Real, hasInstrumentalOrigin, Say You Will]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstrumentalOrigin Context triple: [Say What’s Real, hasInstrumentalOrigin, Say You Will]
-
A.
hasInstrumentalPerformer
Indicates that an action, event, or work is performed or carried out by an entity serving as its instrumental performer.
-
B.
isInstrumental
Indicates that one entity serves as the means, tool, or instrument by which another entity performs an action or achieves an outcome.
-
C.
containsInstrumentalTrack
Indicates that one entity includes or features an instrumental music track as part of its content.
-
D.
hasMainInstrumentalElements
Indicates that one entity includes or is characterized by the primary instrumental components or parts of another entity.
-
E.
originallyInstrumental
Indicates that an entity was initially used as the instrument or means by which an action or effect was brought about, especially when this instrumental role may have changed over time.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
| PDg | Predicate description generation | batch_6a005b2cdbc881908b433623e3252df5 |
completed | May 10, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:02 p.m.