Triple
T19745404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonraker space shuttle program |
E474235
|
entity |
| Predicate | antagonisticTo |
P18963
|
FINISHED |
| Object | James Bond |
—
|
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: James Bond | Statement: [Moonraker space shuttle program, antagonisticTo, James Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Bond Context triple: [Moonraker space shuttle program, antagonisticTo, 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.
Jimmy Bond
Jimmy Bond is a recurring character in The X-Files spin-off series "The Lone Gunmen," known as the well-meaning but somewhat naive ally of the titular conspiracy theorists.
-
C.
Jimmy Bond
Jimmy Bond is an American jazz double bassist known for his session work in the 1950s and 1960s with prominent artists such as Chet Baker and Nina Simone.
-
D.
John Bond
John Bond is a musician best known as a former member of the American rock band Story of the Year.
-
E.
Guy Fleming
Guy Fleming was a prominent American naturalist and conservationist known for his key role in preserving the Torrey Pines area in California.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529387ac819094e4d66d630e8b98 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.