Triple
T37396518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamsterdam legalization experiment |
E928867
|
entity |
| Predicate | implementedByCharacter |
P129228
|
FINISHED |
| Object | Major Howard "Bunny" Colvin |
—
|
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: Major Howard "Bunny" Colvin | Statement: [Hamsterdam legalization experiment, implementedByCharacter, Major Howard "Bunny" Colvin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementedByCharacter Context triple: [Hamsterdam legalization experiment, implementedByCharacter, Major Howard "Bunny" Colvin]
-
A.
implementationCharacter
Indicates that one entity specifies or defines a particular characteristic, feature, or property of the implementation of another entity.
-
B.
usedByCharacter
Indicates that something (such as an item, ability, or resource) is utilized or employed by a particular character.
-
C.
appliesToCharacter
Indicates that an action, rule, or property is specifically directed toward or relevant for a particular character.
-
D.
operatedByCharacter
chosen
Indicates that an operation, action, or process is carried out or controlled by a specific character.
-
E.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:16 p.m.