Triple
T29109289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attilio Regolo |
E736849
|
entity |
| Predicate | usedAsTextFor |
P175042
|
FINISHED |
| Object | opera Attilio Regolo by Johann Adolf Hasse |
—
|
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: opera Attilio Regolo by Johann Adolf Hasse | Statement: [Attilio Regolo, usedAsTextFor, opera Attilio Regolo by Johann Adolf Hasse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsTextFor Context triple: [Attilio Regolo, usedAsTextFor, opera Attilio Regolo by Johann Adolf Hasse]
-
A.
useText
Indicates that one entity employs or applies a specific text as a resource, tool, or content in performing an action or fulfilling a function.
-
B.
usesTextBy
Indicates that one entity makes use of or relies on a text authored or provided by another entity.
-
C.
textUsedIn
chosen
Indicates that a particular piece of text is employed or referenced within another resource, context, or artifact.
-
D.
primaryTextUsed
Indicates that a particular text is the main or principal textual content used in relation to another entity or resource.
-
E.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 28, 2026, 11:17 a.m.