Triple
T30465945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guitar by Bruce Springsteen |
E775140
|
entity |
| Predicate | partOfRecording |
P62509
|
FINISHED |
| Object | studio recording of Two Faces |
—
|
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: studio recording of Two Faces | Statement: [Guitar by Bruce Springsteen, partOfRecording, studio recording of Two Faces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfRecording Context triple: [Guitar by Bruce Springsteen, partOfRecording, studio recording of Two Faces]
-
A.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
B.
recordedAsPartOf
chosen
Indicates that an event or item was documented within, or as a component of, a larger recording or record.
-
C.
roleInRecording
Indicates that an entity holds a specific role or function in the creation or performance of a particular recording.
-
D.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
E.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 29, 2026, 8:11 p.m.