Triple
T26579313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaz |
E667032
|
entity |
| Predicate | hasSuperheroKnowledgeLevel |
P181029
|
FINISHED |
| Object | expert on superheroes and comic lore |
—
|
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: expert on superheroes and comic lore | Statement: [Kaz, hasSuperheroKnowledgeLevel, expert on superheroes and comic lore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuperheroKnowledgeLevel Context triple: [Kaz, hasSuperheroKnowledgeLevel, expert on superheroes and comic lore]
-
A.
hasSuperheroMantle
Indicates that one entity holds or has assumed the superhero identity, title, or role associated with another entity.
-
B.
superheroStatus
Indicates that an entity possesses the qualities, role, or designation of being a superhero, such as having heroic abilities, identity, or status.
-
C.
hasSuperpower
Indicates that one entity possesses a special or extraordinary power or ability beyond normal human capabilities.
-
D.
knowsSecretIdentityOf
Indicates that one entity is aware of the hidden or private true identity of another entity.
-
E.
fieldOfExpertiseOfAlterEgo
Indicates the specific area of knowledge or professional specialization associated with an entity’s alter ego.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:02 a.m.