Triple
T35123144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | …sofferte onde serene… |
E1014219
|
entity |
| Predicate | usesTape |
P191919
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: […sofferte onde serene…, usesTape, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTape Context triple: […sofferte onde serene…, usesTape, yes]
-
A.
supportsCassette
Indicates that one entity is capable of holding, accommodating, or being compatible with a cassette.
-
B.
hasIntegratedCassetteDeck
Indicates that one object includes a built-in cassette deck as part of its overall unit or structure.
-
C.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
D.
usesTuneOf
Indicates that one work is created to be performed with, or is based on, the melody or musical setting originally belonging to another work.
-
E.
matchesPreTaped
Indicates that an entity corresponds to or is consistent with a previously recorded or pre-taped version of something.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 3, 2026, 4:01 p.m.