Triple
T13688410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jackie Robinson Story |
E328194
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mort Briskin |
E1099754
|
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: Mort Briskin | Statement: [The Jackie Robinson Story, producer, Mort Briskin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mort Briskin Context triple: [The Jackie Robinson Story, producer, Mort Briskin]
-
A.
Mort Briskin
chosen
Mort Briskin was a screenwriter known for his work on mid-20th-century American films, including the crime drama "A Man Alone."
-
B.
Marty Dorfman
Marty Dorfman is a character in Woody Allen's 2016 romantic comedy film "Café Society," set in 1930s Hollywood and New York.
-
C.
Marty Katz
Marty Katz is a film producer known for his work on movies such as the World War II drama "The Great Raid."
-
D.
Cliff Dorfman
Cliff Dorfman is an American screenwriter and filmmaker best known for co-writing the acclaimed sports drama film "Warrior" (2011).
-
E.
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db6187c8190969b035bc2813413 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 9, 2026, 9:53 p.m.