Triple
T20157636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonraker |
E491614
|
entity |
| Predicate | workInFranchiseOrder |
P37518
|
FINISHED |
| Object | third James Bond novel |
—
|
LITERAL 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: third James Bond novel | Statement: [Moonraker, workInFranchiseOrder, third James Bond novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workInFranchiseOrder Context triple: [Moonraker, workInFranchiseOrder, third James Bond novel]
-
A.
positionOnFranchise
Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
-
B.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
-
C.
orderOf
chosen
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
orderOrRole
Indicates the hierarchical position, sequence, or functional role that one entity holds relative to others within a structured context.
-
E.
franchiseOwnerOfWorkItAppearsIn
Indicates that a franchise is the owner or controlling rights holder of the work in which a given entity appears.
- F. None of above.
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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e18a0c8190a2cc2b305da28047 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.