Triple
T20083646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluebird |
E500066
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Brian Stone |
—
|
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: Brian Stone | Statement: [Bluebird, producer, Brian Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Stone Context triple: [Bluebird, producer, Brian Stone]
-
A.
Brian Stone
chosen
Brian Stone is a music producer best known for his work on the Buffalo Springfield album "Last Time Around."
-
B.
Jon Stone
Jon Stone was an American television producer, director, and writer best known as a key creative force behind the development and early success of the children's program "Sesame Street."
-
C.
Adam Stone
Adam Stone is a cinematographer known for his visually striking work on films such as "Mud."
-
D.
Robin Stone
Robin Stone is the ambitious, charismatic television executive who serves as the central figure in Jacqueline Susann’s novel "The Love Machine."
-
E.
Gian Stone
Gian Stone is an American songwriter and producer known for co-writing and producing hit pop songs for major artists such as Maroon 5, Justin Bieber, and Ariana Grande.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655946f48190a6b4cb13ea4e212a |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.