Triple
T5921356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steal Your Face skull |
E131704
|
entity |
| Predicate | primarySubjectOf |
P56047
|
FINISHED |
| Object | Steal Your Face themed merchandise |
—
|
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: Steal Your Face themed merchandise | Statement: [Steal Your Face skull, primarySubjectOf, Steal Your Face themed merchandise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySubjectOf Context triple: [Steal Your Face skull, primarySubjectOf, Steal Your Face themed merchandise]
-
A.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
B.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
C.
hasPrimarySubject
chosen
Indicates that an entity is the main or principal subject associated with another entity or resource.
-
D.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
E.
primaryInterest
Indicates that one entity is the main or most significant focus of attention, concern, or engagement for 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.