Triple
T38068712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aero-discs |
E950537
|
entity |
| Predicate | firstAssociatedCharacter |
—
|
GENERATED |
| Object | Mister Miracle (Scott Free) |
—
|
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: firstAssociatedCharacter Context triple: [Aero-discs, firstAssociatedCharacter, Mister Miracle (Scott Free)]
-
A.
firstCharacterType
Indicates that the type or category of the first character in a sequence or string has a specified value.
-
B.
firstCharacterRegion
Indicates that the spatial region corresponds to the first character in a sequence (e.g., in text or a label).
-
C.
firstCharacterRules
Indicates that the entity associated with the first character in a sequence has authority, control, or priority over the others.
-
D.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
E.
firstAppearsAs
Indicates that an entity is introduced or shown in a particular form, role, or identity for the first time in a given context.
- F. None of above. chosen
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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.