Triple
T23440697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiderman (theme) |
E565390
|
entity |
| Predicate | isCoverVersion |
P36216
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Spiderman (theme), isCoverVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCoverVersion Context triple: [Spiderman (theme), isCoverVersion, true]
-
A.
isCoverOf
chosen
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
-
B.
hasCoverVersionLanguage
Indicates that a cover version of a work is performed or produced in a specified language.
-
C.
containsCoverOf
Indicates that one entity includes within it a cover or covering representation of another entity.
-
D.
isDoubleCoverOf
Indicates that one object serves as a two-to-one covering of another, such that each point or element of the second is covered by exactly two corresponding points or elements of the first.
-
E.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5df28288190936f16b017a20bc0 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:50 p.m.