Triple
T17510137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maneater |
E426427
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jim Beanz |
—
|
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: Jim Beanz | Statement: [Maneater, writer, Jim Beanz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Beanz Context triple: [Maneater, writer, Jim Beanz]
-
A.
Jim Beanz
chosen
Jim Beanz is an American songwriter, vocal producer, and record producer known for his extensive work with Timbaland and contributions to numerous R&B and pop hits.
-
B.
Andy Bean
Andy Bean is an American actor best known for his roles in films like "It Chapter Two" and television series such as "Power" and "Here and Now."
-
C.
Mike Beedle
Mike Beedle was a software engineer, author, and early proponent of agile and Scrum methodologies who helped popularize agile software development practices worldwide.
-
D.
Robin Beanland
Robin Beanland is a British video game composer best known for his work on numerous Rare titles, including iconic soundtracks for platformers and action-adventure games.
-
E.
Christopher Bean
Christopher Bean is the unseen but pivotal deceased artist whose legacy and relationships drive the plot of the play "The Late Christopher Bean."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525b03c48190ada74a7da0f4739c |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.