Triple
T13831189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadpool |
E332401
|
entity |
| Predicate | creators |
P7732
|
FINISHED |
| Object | Fabian Nicieza |
E658060
|
NE 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: Fabian Nicieza | Statement: [Deadpool, creators, Fabian Nicieza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabian Nicieza Context triple: [Deadpool, creators, Fabian Nicieza]
-
A.
Fabian Nicieza
chosen
Fabian Nicieza is a comic book writer best known for his influential work at Marvel Comics, including co-creating the popular antihero Deadpool.
-
B.
David Webb Peoples
David Webb Peoples is an American screenwriter best known for his work on acclaimed films such as "Unforgiven" and "Blade Runner."
-
C.
Dan Pagis
Dan Pagis was a prominent Israeli poet, Holocaust survivor, and scholar whose innovative, allusive verse made him one of the central figures of modern Hebrew literature.
-
D.
Michael Jan Friedman
Michael Jan Friedman is an American science fiction author best known for his numerous Star Trek novels and tie-in works.
-
E.
Steve Englehart
Steve Englehart is an American comic book writer best known for his influential 1970s work at Marvel and DC, including acclaimed runs on titles like Doctor Strange, The Avengers, Captain America, and Batman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ebf2608190b1071ee6967fa8d3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.