Triple
T7907992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Millar |
E183623
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Millarworld |
E244881
|
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: Millarworld | Statement: [Mark Millar, founded, Millarworld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millarworld Context triple: [Mark Millar, founded, Millarworld]
-
A.
Millarworld
chosen
Millarworld is a creator-owned comic book imprint and shared universe founded by writer Mark Millar, known for titles like Kick-Ass, Wanted, and Kingsman: The Secret Service.
-
B.
Milrow
Milrow was a 1969 underground U.S. nuclear test conducted on Amchitka Island in Alaska as part of the Cold War weapons testing program.
-
C.
Into the Badlands
Into the Badlands is a post-apocalyptic martial arts television series known for its stylized fight choreography and feudal, dystopian setting.
-
D.
Annihilation
Annihilation is a 2018 science fiction horror film, based on Jeff VanderMeer’s novel, that follows a biologist and her team exploring a mysterious and mutating environmental disaster zone.
-
E.
Tuttomondo
Tuttomondo is a large, colorful public mural in Pisa, Italy, created by American artist Keith Haring in 1989 and depicting his signature stylized human figures.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a59de00819099f1ce02bb469e75 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd0024c81909679a45612bcb1a7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:03 p.m.