Triple
T20208666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. No |
E493427
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Honeychile Rider |
—
|
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: Honeychile Rider | Statement: [Dr. No, character, Honeychile Rider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honeychile Rider Context triple: [Dr. No, character, Honeychile Rider]
-
A.
Honeychile Rider
chosen
Honeychile Rider is a fictional Bond girl and shell diver who appears as a key character in Ian Fleming’s James Bond story "Dr. No."
-
B.
Honey in the Horn
Honey in the Horn is a popular 1963 jazz album by trumpeter Al Hirt that helped bring his brassy, melodic style to mainstream audiences.
-
C.
Honey Chile
"Honey Chile" is a 1967 Motown soul single by Martha and the Vandellas that became one of the group's later charting hits.
-
D.
The Rider
The Rider is a critically acclaimed 2017 American drama film that blends fiction and reality to portray a young cowboy’s struggle to redefine his identity after a life-changing rodeo injury.
-
E.
The Rattler
The Rattler was a wooden roller coaster at Six Flags Fiesta Texas that preceded and was ultimately replaced by the steel-hybrid Iron Rattler.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d94999c8190b67051cb0acea213 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.