Triple
T14358863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatale |
E356042
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Sean Phillips |
E941536
|
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: Sean Phillips | Statement: [Fatale, creator, Sean Phillips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Phillips Context triple: [Fatale, creator, Sean Phillips]
-
A.
Sean Phillips
chosen
Sean Phillips is a British comic book artist best known for his noir-infused collaborations with writer Ed Brubaker on acclaimed series like "Criminal," "Fatale," and "The Fade Out."
-
B.
Chris Dabaldo
Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
-
C.
Kevin Nealon
Kevin Nealon is an American comedian and actor best known for his long-running tenure on "Saturday Night Live" and his roles in numerous comedy films and television series.
-
D.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
-
E.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d7ed3ec8190b97128733419845b |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:15 a.m.