Triple
T9112886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Imitation Game |
E218644
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nora Grossman |
E321426
|
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: Nora Grossman | Statement: [The Imitation Game, producer, Nora Grossman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Grossman Context triple: [The Imitation Game, producer, Nora Grossman]
-
A.
Nora Grossman
chosen
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
-
B.
Sally Grossman
Sally Grossman was an American figure in the 1960s folk and rock scene, best known for appearing on the iconic cover of Bob Dylan’s album "Bringing It All Back Home."
-
C.
Mona Greenberg
Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
-
D.
Marion Rothman
Marion Rothman was an American film editor known for her work on notable films of the 1960s and 1970s, including the crime thriller "The Boston Strangler."
-
E.
Susanna Fogel
Susanna Fogel is an American filmmaker and screenwriter known for directing sharp, character-driven comedies and dramedies, often centered on complex female friendships and offbeat humor.
- 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_69d1820133348190a25ba1ab3fc7359d |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:16 p.m.