Triple
T16053388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jane Austen Book Club |
E389410
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | John Toon |
E138310
|
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: John Toon | Statement: [The Jane Austen Book Club, cinematographyBy, John Toon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Toon Context triple: [The Jane Austen Book Club, cinematographyBy, John Toon]
-
A.
John Toon
chosen
John Toon is a cinematographer known for his work on the film "Sunshine Cleaning."
-
B.
Kevin Tooley
Kevin Tooley is a musician best known as a member of the new wave band The Waitresses.
-
C.
Jim Toth
Jim Toth is an American talent agent and film producer best known for his work in Hollywood and his former marriage to actress Reese Witherspoon.
-
D.
Brian Tochi
Brian Tochi is an American actor and voice actor best known for roles in the Police Academy film series and as the voice of Leonardo in the original Teenage Mutant Ninja Turtles movies.
-
E.
Chip Tolentino
Chip Tolentino is a character in the musical "The 25th Annual Putnam County Spelling Bee," portrayed as a confident Boy Scout and former champion whose adolescent struggles complicate his performance in the competition.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1836365688190b182f29bbb66127e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe2d87c8190ba7f16feb018e70c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.