Triple
T13728223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet the Fockers |
E329720
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jack Byrnes |
E1062586
|
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: Jack Byrnes | Statement: [Meet the Fockers, character, Jack Byrnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Byrnes Context triple: [Meet the Fockers, character, Jack Byrnes]
-
A.
Jack Byrnes
chosen
Jack Byrnes is the overprotective ex-CIA father-in-law character played by Robert De Niro in the comedy film "Meet the Parents."
-
B.
James Massey
James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
-
C.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
-
D.
Robert M. Young
Robert M. Young is an American film director, screenwriter, and cinematographer known for his socially conscious, character-driven dramas and collaborations with actor Edward James Olmos.
-
E.
Judd Ryder
Judd Ryder is a central character on the TV series "9-1-1: Lone Star," portrayed as a seasoned, tough-but-big-hearted firefighter in Austin, Texas.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cebcd481909ba75eef518b34c7 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:55 p.m.