Triple
T18707764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Story (1944 film) |
E457417
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Walls |
—
|
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: Tom Walls | Statement: [Love Story (1944 film), starring, Tom Walls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Walls Context triple: [Love Story (1944 film), starring, Tom Walls]
-
A.
Tom Walls
Tom Walls is a film editor known for his work on the movie "Remember My Name."
-
B.
Tom Walls
chosen
Tom Walls was a British actor, director, and producer best known for his work in early 20th-century stage farces and films.
-
C.
Jack Teagarden
Jack Teagarden was an influential American jazz trombonist and singer renowned for his smooth tone, innovative technique, and collaborations with major jazz bandleaders of the swing era.
-
D.
Ray Nance
Ray Nance was an American jazz trumpeter, violinist, vocalist, and entertainer best known for his long tenure with Duke Ellington’s orchestra, where he contributed iconic solos and versatile performances.
-
E.
Bunny Berigan
Bunny Berigan was an influential American jazz trumpeter and bandleader of the swing era, renowned for his virtuosic playing and classic recording of "I Can't Get Started."
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.