Triple
T36361383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cress |
E895500
|
entity |
| Predicate | characterAlignmentInNotableRole |
P200869
|
FINISHED |
| Object | superhero (Black Lightning) |
—
|
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: superhero (Black Lightning) | Statement: [Cress, characterAlignmentInNotableRole, superhero (Black Lightning)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterAlignmentInNotableRole Context triple: [Cress, characterAlignmentInNotableRole, superhero (Black Lightning)]
-
A.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
B.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
C.
notableCharacterPortrayal
Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
-
D.
notableWorkCharacter
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
E.
characterAffiliationPortrayed
Indicates that a portrayal shows a character as being affiliated with a particular group, organization, or side.
- F. None of above. chosen
Provenance (4 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
| PDg | Predicate description generation | batch_69ffb5c2cef0819087a92a1a5ab694a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: May 3, 2026, 4:09 p.m.