Triple
T19215375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Adams |
E480467
|
entity |
| Predicate | roleInMutinyOnTheBounty |
P59854
|
FINISHED |
| Object | mutineer |
—
|
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: mutineer | Statement: [Jack Adams, roleInMutinyOnTheBounty, mutineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMutinyOnTheBounty Context triple: [Jack Adams, roleInMutinyOnTheBounty, mutineer]
-
A.
roleInMutiny
chosen
Indicates that one entity participated in a mutiny with a specific role or capacity in that rebellious action.
-
B.
placeOfMutiny
Indicates the location where a mutiny occurred or took place.
-
C.
roleInBeastsOfNoNation
Indicates that an entity has a role or participation in the film "Beasts of No Nation."
-
D.
typeOfRebel
Indicates that one entity is a rebel belonging to, or classified under, a particular type or category of rebellion.
-
E.
fateAsBonhommeRichard
Indicates that an entity’s fate or ultimate outcome is the same as that of the ship Bonhomme Richard (e.g., being lost, destroyed, or otherwise meeting a similar end).
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3a417c819083e2e276d44d4d89 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:22 p.m.