Triple
T30132940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Garrett |
E765896
|
entity |
| Predicate | usesSuperheroName |
P129158
|
FINISHED |
| Object | Blue Beetle |
—
|
NE NERFINISHED |
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: Blue Beetle | Statement: [Dan Garrett, usesSuperheroName, Blue Beetle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSuperheroName Context triple: [Dan Garrett, usesSuperheroName, Blue Beetle]
-
A.
usedBySuperheroIdentity
Indicates that a particular item, tool, or resource is utilized by a given superhero identity.
-
B.
usesSuperheroIdentity
chosen
Indicates that an entity adopts or operates under a superhero persona or alias, rather than their ordinary identity.
-
C.
hasSuperheroMantle
Indicates that one entity holds or has assumed the superhero identity, title, or role associated with another entity.
-
D.
namedAfterFictionalCharacter
Indicates that one entity has been given its name in honor of, or derived from, a fictional character.
-
E.
hasEponymousHero
Indicates that a work or narrative features a hero whose name is the same as, or gives its name to, the work itself.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 7:15 p.m.