Triple
T23023245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over Her Dead Body |
E573225
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | David Kitay |
—
|
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: David Kitay | Statement: [Over Her Dead Body, musicBy, David Kitay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kitay Context triple: [Over Her Dead Body, 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 Otsuka
Michael Otsuka is a political philosopher known for his work on left-libertarianism, distributive justice, and the ethics of risk.
-
C.
Michael Shiosaki
Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
-
D.
Ken Okuyama
Ken Okuyama is a renowned Japanese industrial and automobile designer best known for his work on high-performance sports cars and luxury vehicles for brands such as Ferrari and Porsche.
-
E.
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.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847b86688190b678d0d09ecd3c3d |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.