Triple
T15169609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepers |
E362448
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bruno Kirby |
E286425
|
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: Bruno Kirby | Statement: [Sleepers, starring, Bruno Kirby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Kirby Context triple: [Sleepers, starring, Bruno Kirby]
-
A.
Bruno Kirby
chosen
Bruno Kirby was an American character actor known for his memorable supporting roles in films such as "When Harry Met Sally...," "City Slickers," and "Good Morning, Vietnam."
-
B.
Ryo Okumoto
Ryo Okumoto is a Japanese-born keyboardist best known for his long-time role in the American progressive rock band Spock’s Beard.
-
C.
Ryo Kawasaki
Ryo Kawasaki is a Japanese composer and musician known for creating anime and game soundtracks, including the score for the Fate/Grand Order - First Order special.
-
D.
Mako Kamitsuna
Mako Kamitsuna is a Japanese-born film editor and filmmaker known for her work on critically acclaimed independent films, including the period drama "Mudbound."
-
E.
Kento Nakamura
Kento Nakamura is a Japanese individual known primarily as a notable bearer of the Nakamura surname.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec889c3408190bdfc75ce72dd5a62 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.