Triple
T2900918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge of Spies |
E62650
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Marc Platt |
E130854
|
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: Marc Platt | Statement: [Bridge of Spies, producer, Marc Platt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Platt Context triple: [Bridge of Spies, producer, Marc Platt]
-
A.
Marc Platt
chosen
Marc Platt is an American film and theater producer known for major projects such as "La La Land," "Wicked," and "Bridge of Spies."
-
B.
Greg Amsinger
Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
-
C.
Ben Boulware
Ben Boulware is an American former linebacker best known for starring on Clemson University's national championship-winning football team and earning All-American honors.
-
D.
Mark Walter
Mark Walter is an American businessman and investor best known as the controlling owner of the Los Angeles Dodgers and co-founder of the investment firm Guggenheim Partners.
-
E.
Michael Kahn
Michael Kahn is an acclaimed American film editor best known for his long-time collaboration with director Steven Spielberg on numerous major films.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0318f2c908190aa10aa93f8fb139c |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:10 p.m.