Triple
T14712244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Losers |
E345576
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Joel Silver |
E164724
|
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: Joel Silver | Statement: [The Losers, producer, Joel Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Silver Context triple: [The Losers, producer, Joel Silver]
-
A.
Joel Silver
chosen
Joel Silver is a prominent American film producer known for high-octane action and genre-defining hits such as the "Lethal Weapon" and "The Matrix" franchises.
-
B.
Charles Roven
Charles Roven is an American film producer known for his work on major Hollywood blockbusters, including Christopher Nolan’s films such as Oppenheimer and The Dark Knight trilogy.
-
C.
Robert Shaye
Robert Shaye is an American film executive and producer best known as the founder of New Line Cinema, which he built into a major independent movie studio.
-
D.
Ilya Salkind
Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
-
E.
Brian Grazer
Brian Grazer is an American film and television producer and co-founder of Imagine Entertainment, known for producing acclaimed movies and TV series such as A Beautiful Mind, Apollo 13, and Arrested Development.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce17f688190a86979cca8b88494 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.