Triple
T23268841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Perfect Host |
E588233
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Nick Tomnay |
—
|
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: Nick Tomnay | Statement: [The Perfect Host, editedBy, Nick Tomnay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Tomnay Context triple: [The Perfect Host, editedBy, Nick Tomnay]
-
A.
Nick Tomnay
chosen
Nick Tomnay is an Australian filmmaker best known for writing and directing the darkly comedic thriller film "The Perfect Host."
-
B.
Chris Tomson
Chris Tomson is an American drummer best known as a member of the indie rock band Vampire Weekend.
-
C.
Jim Tomlinson
Jim Tomlinson is a British jazz saxophonist, composer, and producer known for his long-standing musical collaboration with vocalist Stacey Kent.
-
D.
Chris Norr
Chris Norr is a cinematographer known for his work on feature films, including the 2018 drama "Puzzle."
-
E.
Tim Fywell
Tim Fywell is a British film and television director known for his work on literary adaptations and period dramas.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957219188190b30bceffad1542da |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:44 p.m.