Triple
T10825900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benevolent Dictator For Life (historical) |
E255496
|
entity |
| Predicate | roleTypicallyHeldBy |
P18942
|
FINISHED |
| Object | original project creator |
—
|
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: original project creator | Statement: [Benevolent Dictator For Life (historical), roleTypicallyHeldBy, original project creator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleTypicallyHeldBy Context triple: [Benevolent Dictator For Life (historical), roleTypicallyHeldBy, original project creator]
-
A.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
B.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
C.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
D.
typicalRole
chosen
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
E.
officeHolderRoleIn
Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d1c24881909f56d56207cccbef |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.