Triple
T12657254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighbors (1981 film) |
E302316
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | David Garfield |
E980550
|
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: David Garfield | Statement: [Neighbors (1981 film), editedBy, David Garfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Garfield Context triple: [Neighbors (1981 film), editedBy, David Garfield]
-
A.
David Garfield
David Garfield is the son of American actor John Garfield (born Jacob Julius Garfinkle).
-
B.
David Garfield
chosen
David Garfield is a film editor known for his work on movies such as "The Formula."
-
C.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
D.
Dan Futterman
Dan Futterman is an American actor and Academy Award–nominated screenwriter known for writing the film "Capote" and co-creating the TV series "In Treatment."
-
E.
Wayne Garfield
Wayne Garfield is a songwriter best known for his work on the Janet Jackson hit "All for You."
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961620b188190a8a8569f1133a9cf |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:18 p.m.