Triple
T29613457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Garden of Weapons (Herbie Kruger) |
E754795
|
entity |
| Predicate | characterRoleOfHerbieKruger |
P23263
|
FINISHED |
| Object | British intelligence officer |
—
|
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: British intelligence officer | Statement: [The Garden of Weapons (Herbie Kruger), characterRoleOfHerbieKruger, British intelligence officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfHerbieKruger Context triple: [The Garden of Weapons (Herbie Kruger), characterRoleOfHerbieKruger, British intelligence officer]
-
A.
featuresCharacterRole
chosen
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
B.
describesCharacterRole
Indicates that one entity specifies or defines the narrative or functional role played by another entity.
-
C.
roleInTransformers
Indicates that an entity has a specific role or function within the Transformers franchise or universe.
-
D.
roleInTheAdventuresOfFordFairlane
Indicates that an entity has a specific role or appearance in the film "The Adventures of Ford Fairlane."
-
E.
drivingCharacter
Indicates that one character is operating or controlling a vehicle or mode of transportation.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 28, 2026, 6:30 p.m.