Triple
T8140831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Old Woman |
E190090
|
entity |
| Predicate | finalOccupation |
P75487
|
FINISHED |
| Object | laborer on the farm at the end of Candide |
—
|
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: laborer on the farm at the end of Candide | Statement: [the Old Woman, finalOccupation, laborer on the farm at the end of Candide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalOccupation Context triple: [the Old Woman, finalOccupation, laborer on the farm at the end of Candide]
-
A.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
B.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
C.
occupationEnd
Indicates the point in time or event at which an entity’s role, job, or position comes to an end.
-
D.
originalHolderOccupation
Indicates the occupation or professional role held by the entity that originally possessed or owned another entity.
-
E.
memberLaterOccupation
chosen
Indicates that an individual later held a particular occupation or position after an earlier point in time or role.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4442299881909db56f7475cbb99a |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.