Triple
T9112885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Imitation Game |
E218644
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ido Ostrowsky |
E218644
|
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: Ido Ostrowsky | Statement: [The Imitation Game, producer, Ido Ostrowsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ido Ostrowsky Context triple: [The Imitation Game, producer, Ido Ostrowsky]
-
A.
Ido Ostrowsky
chosen
Ido Ostrowsky is a film producer best known for co-producing the acclaimed historical drama "The Imitation Game."
-
B.
Uri Fruchtmann
Uri Fruchtmann is an Israeli film producer and political activist best known for his work in documentary and socially engaged cinema.
-
C.
Arnon Grunberg
Arnon Grunberg is a Dutch novelist, essayist, and columnist known for his darkly comic, psychologically incisive works that explore themes of identity, war, and human vulnerability.
-
D.
Yossi Graber
Yossi Graber was an Israeli actor known for his work in film, television, and theater.
-
E.
Avner Kaufman
Avner Kaufman is the central Mossad agent protagonist in Steven Spielberg’s film "Munich," depicted as a conflicted assassin grappling with the moral consequences of his mission.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.