Triple
T15632259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost World |
E375843
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | David Kitay |
E322251
|
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: David Kitay | Statement: [Ghost World, musicBy, David Kitay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kitay Context triple: [Ghost World, musicBy, David Kitay]
-
A.
David Kitay
chosen
David Kitay is an American film composer best known for his work on popular 1990s teen and comedy films.
-
B.
Michael Shiosaki
Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
-
C.
Mark Yoshikawa
Mark Yoshikawa is a film editor best known for his work on major Hollywood productions, including the final installment of The Hunger Games series.
-
D.
James Kajiya
James Kajiya is a pioneering computer graphics researcher best known for formulating the rendering equation, which fundamentally shaped modern physically based rendering.
-
E.
Steve Okamoto
Steve Okamoto is a designer best known for his work on the Mamba project.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f472b648190b7cd532a1b16373e |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.