Triple
T21038877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Busiek |
E518264
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WildStorm |
—
|
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: WildStorm | Statement: [Kurt Busiek, employer, WildStorm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WildStorm Context triple: [Kurt Busiek, employer, WildStorm]
-
A.
WildStorm
chosen
WildStorm is a comic book imprint known for its creator-driven superhero and sci-fi titles, originally founded by Jim Lee and later integrated into DC Comics.
-
B.
Leaf Storm
Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
-
C.
Dark Storm
Dark Storm is an EP by Australian indie rock band The Jezabels, known for its dramatic, atmospheric sound and emotive vocals.
-
D.
Firestorm
Firestorm is a fictional character name commonly used for powerful, often elemental-themed heroes or creatures, typically associated with fire-based abilities.
-
E.
Firestorm
Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:13 p.m.