Triple
T29708328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Prokosch |
E751701
|
entity |
| Predicate | fromWorkOriginalTitle |
P167803
|
FINISHED |
| Object | Le Mépris |
—
|
NE NERFINISHED |
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: Le Mépris | Statement: [Jeremy Prokosch, fromWorkOriginalTitle, Le Mépris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fromWorkOriginalTitle Context triple: [Jeremy Prokosch, fromWorkOriginalTitle, Le Mépris]
-
A.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
B.
workTitleOriginal
Indicates that one entity is the original title or name under which a work was first created, published, or released.
-
C.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
D.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
E.
hasOriginalTitleScript
Indicates that an entity’s original title is written or represented in a specific writing system or script.
- F. None of above. chosen
Provenance (4 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d7511c8190b10daa0435111785 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 7:29 p.m.