Triple
T6135321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airplane! |
E136818
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jim Abrahams |
E323395
|
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: Jim Abrahams | Statement: [Airplane!, writer, Jim Abrahams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Abrahams Context triple: [Airplane!, writer, Jim Abrahams]
-
A.
Jim Abrahams
chosen
Jim Abrahams is an American film director, producer, and screenwriter best known for co-creating the spoof-comedy classics "Airplane!" and "The Naked Gun" series.
-
B.
Jon Abrahams
Jon Abrahams is an American actor best known for his comedic and horror film roles in the early 2000s, including prominent parts in popular parody and teen movies.
-
C.
Jason Friedberg
Jason Friedberg is an American filmmaker best known for co-writing and co-directing a series of parody films, including titles like "Date Movie," "Epic Movie," and "Disaster Movie."
-
D.
John Friedberg
John Friedberg is a film producer known for his work on action and thriller projects, including Guy Ritchie's 2023 war drama "The Covenant."
-
E.
David W. Zucker
David W. Zucker is a television producer known for overseeing high-profile, prestige drama series, including the adaptation of Philip K. Dick’s "The Man in the High Castle."
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c80a6088190a028967b682fed2b |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243bd199081909a96366cc39bf43e |
completed | March 24, 2026, 7:56 a.m. |
Created at: March 22, 2026, 4:15 p.m.