Triple
T22023068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little (2019 film) |
E543889
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Tone Bell |
—
|
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: Tone Bell | Statement: [Little (2019 film), castMember, Tone Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tone Bell Context triple: [Little (2019 film), castMember, Tone Bell]
-
A.
Tone Bell
chosen
Tone Bell is an American stand-up comedian and actor known for his roles in television sitcoms and feature films.
-
B.
Keith Andes
Keith Andes was an American actor known for his work in mid-20th-century film, television, and theater, including notable roles in productions like "A Date with Judy" and "This Man Is Mine."
-
C.
Justin Bell
Justin Bell is the son of American actor Tobin Bell, best known for portraying the Jigsaw killer in the "Saw" film series.
-
D.
Michael Watts
Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
-
E.
Jack Watts
Jack Watts was a prominent British jockey known for his successful career riding top racehorses in the late 19th century.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.