Triple
T19803187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe Sullivan |
E475738
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Miles Millar |
—
|
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: Miles Millar | Statement: [Chloe Sullivan, createdBy, Miles Millar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Millar Context triple: [Chloe Sullivan, createdBy, Miles Millar]
-
A.
Miles Millar
chosen
Miles Millar is a television writer and producer best known as the co-creator of the superhero series "Smallville."
-
B.
Mark Cline
Mark Cline is a musician best known as a member of the Athens, Georgia-based alternative rock band Love Tractor, part of the early 1980s college rock scene.
-
C.
Tony Cox
Tony Cox is an American actor best known for his comedic roles in films such as "Bad Santa," "Me, Myself & Irene," and various parody movies.
-
D.
Mark Salling
Mark Salling was an American actor and musician best known for playing Noah "Puck" Puckerman on the television series Glee.
-
E.
Ron Cooke
Ron Cooke is a British academic and geographer best known for serving as Vice-Chancellor of the University of York and for his contributions to higher education and urban regeneration.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654266e18819085698aed8b0e2ba8 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.