Triple
T9114375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Ditko |
E218686
|
entity |
| Predicate | notableCharacterDesign |
P36870
|
FINISHED |
| Object | Spider-Man costume |
—
|
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: Spider-Man costume | Statement: [Steve Ditko, notableCharacterDesign, Spider-Man costume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCharacterDesign Context triple: [Steve Ditko, notableCharacterDesign, Spider-Man costume]
-
A.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
B.
notableCharacterCreated
Indicates that one entity is a notable or significant character that was created by another entity.
-
C.
notableWorkCharacter
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
D.
costumeDesignNotability
chosen
Indicates that an entity is notable or recognized specifically for its work or achievements in costume design.
-
E.
notableCharacterVoiced
Indicates that a notable character is voiced or performed by a specific voice actor or performer.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84c209c8190b082a9b8499bedf7 |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.