Triple
T14328714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Free-Lance Pallbearers |
E355281
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Bukka Doopeyduk |
E1094305
|
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: Bukka Doopeyduk | Statement: [The Free-Lance Pallbearers, character, Bukka Doopeyduk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukka Doopeyduk Context triple: [The Free-Lance Pallbearers, character, Bukka Doopeyduk]
-
A.
Bukka Doopeyduk
chosen
Bukka Doopeyduk is the hapless, everyman protagonist of Ishmael Reed’s satirical novel "The Free-Lance Pallbearers," navigating a grotesque, absurdist dictatorship.
-
B.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
-
C.
Dookudu
Dookudu is a 2011 Telugu-language action-comedy film widely recognized as one of Mahesh Babu’s biggest commercial hits and a landmark in contemporary mainstream Telugu cinema.
-
D.
Moombooldool
Moombooldool is a small rural locality in the Riverina region of New South Wales, Australia.
-
E.
Bugaloo
Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1c3e70819084b6728ac5c18561 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c3d20688190973e37ca38b4afe0 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:13 a.m.