Triple
T13725370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Message |
E329140
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Duke Bootee |
E1058443
|
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: Duke Bootee | Statement: [The Message, writer, Duke Bootee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Bootee Context triple: [The Message, writer, Duke Bootee]
-
A.
Duke Bootee
chosen
Duke Bootee was an American rapper, producer, and songwriter best known for co-writing and performing on Grandmaster Flash and the Furious Five’s seminal hip-hop track "The Message."
-
B.
Duke Evers
Duke Evers is a man known primarily as the grandfather-in-law of Donnie.
-
C.
Duke
Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
-
D.
Duke
Duke is the elderly man in "The Notebook" who narrates the love story from a nursing home, later revealed to be an older Noah reading their shared history to Allie.
-
E.
Duke
Duke is a narrow-gauge steam locomotive character from the Skarloey Railway in The Railway Series and Thomas & Friends franchise, known for his old-fashioned, strict yet caring personality.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84a2ed481909005720b0531e585 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.