Triple
T2031521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song to a Seagull |
E44526
|
entity |
| Predicate | catalogNumberLabel |
P8090
|
FINISHED |
| Object | Reprise RS 6293 |
—
|
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: Reprise RS 6293 | Statement: [Song to a Seagull, catalogNumberLabel, Reprise RS 6293]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogNumberLabel Context triple: [Song to a Seagull, catalogNumberLabel, Reprise RS 6293]
-
A.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
B.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
C.
serialNumberColor
Indicates a relationship where a specific serial number is associated with a particular color.
-
D.
catalogCode
chosen
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
E.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.