Triple
T10494521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Tale of Love and Darkness |
E247499
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ram Bergman |
E145598
|
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: Ram Bergman | Statement: [A Tale of Love and Darkness, producer, Ram Bergman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram Bergman Context triple: [A Tale of Love and Darkness, producer, Ram Bergman]
-
A.
Ram Bergman
chosen
Ram Bergman is an Israeli film producer best known for his long-time collaboration with director Rian Johnson on films such as "Brick," "Looper," and "Star Wars: The Last Jedi."
-
B.
Martin Bergman
Martin Bergman is a British screenwriter and producer best known for co-writing the 1992 ensemble comedy-drama film "Peter’s Friends."
-
C.
David Bergman
David Bergman is a senior executive and key financial leader at Under Armour, serving as the company's Chief Financial Officer.
-
D.
David Bergman
David Bergman is a name shared by multiple individuals, including professionals in fields such as photography, law, and academia.
-
E.
Alan Siegel
Alan Siegel is a film producer best known for his long-running collaboration with actor Gerard Butler on action and thriller movies.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:24 p.m.