Triple
T4993405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Klebb |
E112185
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | James Bond |
E18670
|
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: James Bond | Statement: [Rosa Klebb, antagonistOf, James Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Bond Context triple: [Rosa Klebb, antagonistOf, James Bond]
-
A.
James Bond
chosen
James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
-
B.
Q (James Bond)
Q is the fictional head of Q Branch in the James Bond series, known for equipping 007 with advanced gadgets and technology.
-
C.
Alec Leamas
Alec Leamas is a jaded British intelligence officer whose morally complex mission at the height of the Cold War drives the plot of John le Carré’s novel "The Spy Who Came in from the Cold."
-
D.
James Bond (brother)
James Bond (brother) is the sibling of American civil rights leader and politician Julian Bond.
-
E.
Le Chiffre
Le Chiffre is a notorious villain in the James Bond universe, best known as the primary antagonist and high-stakes gambler in Ian Fleming’s novel and its film adaptations.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729d3d448190a414a003a75104f6 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92521bcc8190a1c485216f885778 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:34 p.m.