Triple
T16674680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Making Plans for Nigel |
E405186
|
entity |
| Predicate | hasLabelCatalog |
P26507
|
FINISHED |
| Object | Virgin Records single release |
—
|
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: Virgin Records single release | Statement: [Making Plans for Nigel, hasLabelCatalog, Virgin Records single release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLabelCatalog Context triple: [Making Plans for Nigel, hasLabelCatalog, Virgin Records single release]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
labelCatalog
chosen
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
C.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
-
D.
labelCatalogType
Indicates that an entity is assigned a specific catalog type label, defining its classification within a cataloging system.
-
E.
hasCatalogView
Indicates that an entity is associated with a particular way or mode of viewing or presenting a catalog.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.