Triple
T25261735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitaine Alexandre |
E633320
|
entity |
| Predicate | occupationUnderName |
P57269
|
FINISHED |
| Object | maquis leader |
—
|
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: maquis leader | Statement: [Capitaine Alexandre, occupationUnderName, maquis leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationUnderName Context triple: [Capitaine Alexandre, occupationUnderName, maquis leader]
-
A.
occupationDuringAlias
chosen
Indicates that an entity held a particular occupation specifically during the time period when it was known by a given alias.
-
B.
latestOccupation
Indicates the most recent job, role, or position that an entity currently holds or last held.
-
C.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
D.
employerOfNotablePerson
Indicates that an entity serves or has served as the employer of a person who is considered notable.
-
E.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:13 p.m.