Triple
T23174472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Have I Ever |
E578956
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Lang Fisher |
—
|
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: Lang Fisher | Statement: [Never Have I Ever, creator, Lang Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lang Fisher Context triple: [Never Have I Ever, creator, Lang Fisher]
-
A.
Lang Fisher
chosen
Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
-
B.
Nathan Filer
Nathan Filer is a British writer and former mental health nurse best known for his Costa Book of the Year-winning debut novel "The Shock of the Fall," which explores schizophrenia and grief.
-
C.
Jeremy Fisher
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
-
D.
Jonathan Fisher
Jonathan Fisher is a fictional character from the film "Street Smart," portrayed as an ambitious but morally conflicted journalist whose fabricated crime story spirals dangerously out of control.
-
E.
Gavin Esler
Gavin Esler is a British journalist, author, and television presenter best known for his long career as a BBC news anchor and political commentator.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f69cb1881909e0f47d3b32e2cb1 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.