Triple
T21065875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeants 3 |
E518966
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Buddy Lester |
—
|
NE NERFINISHED |
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: Buddy Lester | Statement: [Sergeants 3, starring, Buddy Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddy Lester Context triple: [Sergeants 3, starring, Buddy Lester]
-
A.
Buddy Lester
chosen
Buddy Lester was an American stand-up comedian and character actor known for his supporting roles in films and television from the 1950s through the 1970s.
-
B.
Buddy Johnson
Buddy Johnson is a screenwriter best known for his work on the horror-comedy parody film "Scary Movie."
-
C.
Mickey Loomis
Mickey Loomis is an American football executive best known for leading the New Orleans Saints’ front office during their rise to Super Bowl contention and long-term success in the NFL.
-
D.
Buddy Slade
Buddy Slade is a former high school jock and Mavis Gary’s married ex-boyfriend in the dark comedy film "Young Adult."
-
E.
Jerry Lester
Jerry Lester was an American comedian and television personality best known as an early late-night TV pioneer in the 1950s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb3799c8190bebabb087b917321 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:44 p.m.