Triple
T12928770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fionna and Cake |
E309313
|
entity |
| Predicate | hasComposer |
P1361
|
FINISHED |
| Object | Tim Kiefer |
E333276
|
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: Tim Kiefer | Statement: [Fionna and Cake, hasComposer, Tim Kiefer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Kiefer Context triple: [Fionna and Cake, hasComposer, Tim Kiefer]
-
A.
Tim Kiefer
chosen
Tim Kiefer is an American composer best known for creating the distinctive, genre-blending musical score for the animated television series "Adventure Time."
-
B.
Marc Klasfeld
Marc Klasfeld is an American music video director known for his prolific work with major hip-hop and rock artists and for creating visually distinctive, narrative-driven videos.
-
C.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
D.
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.
-
E.
Kevin Reher
Kevin Reher is an American film producer best known for his work on Pixar animated features, including the Cars franchise.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78acb7ee0819093e61c5b8eb7da38 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 5:42 p.m.