Triple
T14599195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pardon My French |
E342656
|
entity |
| Predicate | mainlyInstrumental |
P69678
|
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: [Pardon My French, mainlyInstrumental, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyInstrumental Context triple: [Pardon My French, mainlyInstrumental, true]
-
A.
hasMainInstrumentalElements
chosen
Indicates that one entity includes or is characterized by the primary instrumental components or parts of another entity.
-
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.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
-
D.
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.
-
E.
isNonVocalInstrumental
Indicates that an entity produces instrumental sound without involving vocalization.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.