Triple
T24278421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Bond Island |
E605473
|
entity |
| Predicate | filmLocationForVillain |
P155641
|
FINISHED |
| Object | Francisco Scaramanga's hideout |
—
|
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: Francisco Scaramanga's hideout | Statement: [James Bond Island, filmLocationForVillain, Francisco Scaramanga's hideout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLocationForVillain Context triple: [James Bond Island, filmLocationForVillain, Francisco Scaramanga's hideout]
-
A.
filmLocationFor
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
B.
hasVillainBaseLocation
Indicates that a villain’s primary base or headquarters is located at a specified place.
-
C.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
D.
featuresVillainActor
Indicates that the subject includes or presents an actor in the role of a villain.
-
E.
cityOfFictionalActivity
Indicates that a fictional activity, event, or storyline takes place in the specified city.
- F. None of above. chosen
Provenance (4 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f5032f48190a027e2d8b382ee79 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 18, 2026, 12:07 a.m.