Triple
T7362158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadpool |
E169776
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Fabian Nicieza
Fabian Nicieza is a comic book writer best known for his influential work at Marvel Comics, including co-creating the popular antihero Deadpool.
|
E658060
|
NE FINISHED |
How this triple was built (4 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, creator, Fabian Nicieza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabian Nicieza Context triple: [Deadpool, creator, Fabian Nicieza]
-
A.
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.
-
B.
Michael Jan Friedman
Michael Jan Friedman is an American science fiction author best known for his numerous Star Trek novels and tie-in works.
-
C.
Alan Ford
Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
-
D.
Paul Dini
Paul Dini is an American writer and producer best known for his influential work on Batman: The Animated Series and for co-creating the character Harley Quinn.
-
E.
David Mack
David Mack is an American author best known for his numerous Star Trek tie-in novels and related science fiction works.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fabian Nicieza Triple: [Deadpool, creator, Fabian Nicieza]
Generated description
Fabian Nicieza is a comic book writer best known for his influential work at Marvel Comics, including co-creating the popular antihero Deadpool.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabian Nicieza Target entity description: Fabian Nicieza is a comic book writer best known for his influential work at Marvel Comics, including co-creating the popular antihero Deadpool.
-
A.
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.
-
B.
Michael Jan Friedman
Michael Jan Friedman is an American science fiction author best known for his numerous Star Trek novels and tie-in works.
-
C.
Alan Ford
Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
-
D.
Paul Dini
Paul Dini is an American writer and producer best known for his influential work on Batman: The Animated Series and for co-creating the character Harley Quinn.
-
E.
David Mack
David Mack is an American author best known for his numerous Star Trek tie-in novels and related science fiction works.
- F. None of above. chosen
Provenance (5 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15f218081909b5cc7a8cc695055 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab3a9d88190b9193dd0729eba5a |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbe2a86881909be54dac809aa9af |
completed | March 28, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc84fff48190b4b43da21a9ede51 |
completed | March 28, 2026, 4:06 p.m. |
Created at: March 27, 2026, 3:06 p.m.