Triple
T35280038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales to Astonish #49 |
E1018908
|
entity |
| Predicate | featuresCharacterRealName |
—
|
GENERATED |
| Object | Henry Pym |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCharacterRealName Context triple: [Tales to Astonish #49, featuresCharacterRealName, Henry Pym]
-
A.
titleCharacterRealName
chosen
Indicates that a character known by a title or alias has the specified real (personal) name.
-
B.
characterFullName
Indicates that the predicate specifies the complete, formal name of a character.
-
C.
featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
-
D.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
E.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
- F. None of above.
Provenance (1 batch)
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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.