Triple
T15625019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RED (2010 film) |
E375656
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Marvin Boggs |
E848211
|
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: Marvin Boggs | Statement: [RED (2010 film), mainCharacter, Marvin Boggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marvin Boggs Context triple: [RED (2010 film), mainCharacter, Marvin Boggs]
-
A.
Marvin Boggs
chosen
Marvin Boggs is a paranoid yet brilliant former CIA operative and eccentric marksman, portrayed by John Malkovich in the action-comedy film series "Red."
-
B.
Milt Buckner
Milt Buckner was an American jazz pianist and organist known for popularizing the Hammond organ in jazz and pioneering the block-chord style of piano playing.
-
C.
Alvin Martin
Alvin Martin is best known as the former husband of actress and comedian Whoopi Goldberg (born Caryn Elaine Johnson).
-
D.
Bobby Williams
Bobby Williams is an American actor and model best known as the longtime partner and husband of actress Mariel Hemingway.
-
E.
Randolph Morris
Randolph Morris is an American professional basketball center known for his play in both the NBA and the Chinese Basketball Association.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678c9d8c8190be73b6e7ed558e99 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.