Triple
T20483439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Halford |
E502521
|
entity |
| Predicate | stageImage |
P140269
|
FINISHED |
| Object | leather-and-studs fashion |
—
|
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: leather-and-studs fashion | Statement: [Rob Halford, stageImage, leather-and-studs fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageImage Context triple: [Rob Halford, stageImage, leather-and-studs fashion]
-
A.
starImage
Indicates that one entity is an image or visual representation of a star or stellar object.
-
B.
stage
Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
-
C.
stageAfter
Indicates that one stage occurs later in sequence or order than another specified stage.
-
D.
studioStarImage
Indicates that an image depicts a star (celebrity or notable figure) associated with a particular studio.
-
E.
staging
Indicates the process of arranging, organizing, or setting up elements in preparation for a main event, performance, or deployment.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b58c4b4819083d0ba2397dbfb0b |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:34 a.m.