Triple
T17961686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Kananga |
E449097
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | San Monique |
—
|
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: San Monique | Statement: [Dr. Kananga, setting, San Monique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Monique Context triple: [Dr. Kananga, setting, San Monique]
-
A.
San Monique
chosen
San Monique is a fictional Caribbean island nation in the James Bond universe, prominently featured as Dr. Kananga’s stronghold in the film "Live and Let Die."
-
B.
Tionne Watkins
Tionne Watkins, better known as T-Boz, is an American singer, songwriter, and actress best known as a member of the Grammy-winning R&B/hip-hop girl group TLC.
-
C.
Courtney Rose
Courtney Rose is the idealistic young rapper-turned-politician who becomes mayor in the television series "The Mayor."
-
D.
Deniece Williams
Deniece Williams is an American soul and R&B singer best known for her powerful four-octave range and hits like "Let's Hear It for the Boy."
-
E.
Mary J. Blige
Mary J. Blige is an American singer, songwriter, and actress widely known as the "Queen of Hip-Hop Soul" for her influential blend of R&B, soul, and hip-hop.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b132cc10819088526a0b4b098d69 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.