Triple
T18140148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stage Whisper |
E434238
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ed Droste |
—
|
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: Ed Droste | Statement: [Stage Whisper, producer, Ed Droste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Droste Context triple: [Stage Whisper, producer, Ed Droste]
-
A.
Ed Droste
chosen
Ed Droste is an American musician best known as a founding member, vocalist, and songwriter of the indie rock band Grizzly Bear.
-
B.
Ryan Tesink
Ryan Tesink is a Canadian professional ice hockey forward known for his junior career in the QMJHL and being drafted by the St. Louis Blues in the NHL.
-
C.
Lee Stange
Lee Stange was a Major League Baseball pitcher best known for his role on the 1967 Boston Red Sox "Impossible Dream" pennant-winning team.
-
D.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.