Triple
T20141316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Man |
E491171
|
entity |
| Predicate | bearerPositionInOrganization |
P12630
|
FINISHED |
| Object | boss of the Bufalino crime family |
—
|
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: boss of the Bufalino crime family | Statement: [The Old Man, bearerPositionInOrganization, boss of the Bufalino crime family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerPositionInOrganization Context triple: [The Old Man, bearerPositionInOrganization, boss of the Bufalino crime family]
-
A.
rankWithinOrganization
Indicates the relative hierarchical position or level an entity holds within a specific organization.
-
B.
hasPositionInOrganization
chosen
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
C.
bearerPosition
Indicates the spatial or positional relationship of a bearer (holder or carrier) relative to the item or entity it bears.
-
D.
parentOrganizationRole
Indicates that an organization holds a specific role or position within a larger parent organization.
-
E.
parentOrganizationRank
Indicates the hierarchical level or rank of a parent organization relative to other organizations in the same structure.
- 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_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.