Triple
T21160145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopussy (film) score |
E521417
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | All Time High |
—
|
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: All Time High | Statement: [Octopussy (film) score, featuresSong, All Time High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Time High Context triple: [Octopussy (film) score, featuresSong, All Time High]
-
A.
All Time High
chosen
"All Time High" is the romantic pop ballad performed by Rita Coolidge that serves as the theme song for the 1983 James Bond film "Octopussy."
-
B.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
C.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
-
D.
When on High
"When on High" is the traditional English rendering of the opening words and common title of the ancient Babylonian creation epic Enuma Elish.
-
E.
How High
How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252f70888190b8e6109cc4099ecc |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.