Triple
T25387870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tit-Willow |
E631572
|
entity |
| Predicate | requiresAccompaniment |
P167046
|
FINISHED |
| Object | orchestra |
—
|
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: orchestra | Statement: [Tit-Willow, requiresAccompaniment, orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresAccompaniment Context triple: [Tit-Willow, requiresAccompaniment, orchestra]
-
A.
accompanimentType
Indicates the specific manner or style in which one entity accompanies or supports another (e.g., musically, contextually, or functionally).
-
B.
mayBeAccompaniedBy
Indicates that one entity can optionally be present together with or alongside another entity.
-
C.
originalAccompaniment
Indicates that one entity serves as the initial or primary accompaniment (such as a side, garnish, or supporting element) to another entity.
-
D.
usuallyAccompaniedBy
Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
-
E.
accompanimentRole
Indicates the role or function an accompanying entity plays in relation to a primary entity or event.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 21, 2026, 1:47 p.m.