Triple
T33783042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Other |
E865709
|
entity |
| Predicate | associatedWithLabelRoster |
P206673
|
FINISHED |
| Object | Tri Angle Records artists |
—
|
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: Tri Angle Records artists | Statement: [Holy Other, associatedWithLabelRoster, Tri Angle Records artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLabelRoster Context triple: [Holy Other, associatedWithLabelRoster, Tri Angle Records artists]
-
A.
associatedWithLabel
Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
-
B.
associatedWithLabelFamily
Indicates that one entity is connected to or grouped with another through a shared label family or labeling category.
-
C.
associatedRecordLabelOfUser
Indicates that a particular record label is linked or connected to a given user.
-
D.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
-
E.
associatedWithRelationship
Indicates a general connection or involvement between entities through some form of relationship, without specifying its exact nature.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:45 a.m.