Triple
T31192647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimson Dynamo |
E795222
|
entity |
| Predicate | isIdentityUsedByMultipleCharacters |
P171238
|
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: [Crimson Dynamo, isIdentityUsedByMultipleCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIdentityUsedByMultipleCharacters Context triple: [Crimson Dynamo, isIdentityUsedByMultipleCharacters, true]
-
A.
hasMultipleIdentities
Indicates that a single entity is associated with more than one distinct identity or persona.
-
B.
hasNumberOfIdentities
Indicates the count of distinct identities associated with a given entity.
-
C.
identifiedUsing
Indicates that one entity was recognized, distinguished, or determined by means of a specified method, tool, or identifier.
-
D.
usedBySuperheroIdentity
Indicates that a particular item, tool, or resource is utilized by a given superhero identity.
-
E.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:08 p.m.