Triple
T20140329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Virginia |
E491145
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Niles Fitch |
—
|
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: Niles Fitch | Statement: [Miss Virginia, castMember, Niles Fitch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niles Fitch Context triple: [Miss Virginia, castMember, Niles Fitch]
-
A.
Niles Fitch
chosen
Niles Fitch is an American actor best known for playing the teenage version of Randall Pearson on the acclaimed television drama "This Is Us."
-
B.
Niles Hollowell-Dhar
Niles Hollowell-Dhar is an American DJ, record producer, and songwriter best known as one half of the production duo The Cataracs and for his later solo work under the name Kshmr.
-
C.
Niles Spencer
Niles Spencer was an American painter associated with the Precisionist movement, known for his simplified, geometric depictions of industrial and urban landscapes.
-
D.
Nyles Steele
Nyles Steele is an actor best known for his role in the television series "Good Behavior."
-
E.
Nathan Appleby
Nathan Appleby is the troubled Victorian psychologist and landowner at the center of the British supernatural drama series "The Living and the Dead."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.