Triple
T36138843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World in My Eyes |
E1045235
|
entity |
| Predicate | hasCatalogInLabel |
P200926
|
FINISHED |
| Object | Mute Records single catalog |
—
|
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: Mute Records single catalog | Statement: [World in My Eyes, hasCatalogInLabel, Mute Records single catalog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogInLabel Context triple: [World in My Eyes, hasCatalogInLabel, Mute Records single catalog]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
C.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
D.
hasCatalogView
Indicates that an entity is associated with a particular way or mode of viewing or presenting a catalog.
-
E.
usesLabelCatalog
Indicates that one entity relies on or applies a defined catalog of labels provided or maintained by another entity.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69ffb97ae1508190bf3addd6e2aac281 |
completed | May 9, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:08 p.m.