Triple
T29708329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Prokosch |
E751701
|
entity |
| Predicate | fromWorkEnglishTitle |
P143018
|
FINISHED |
| Object | Contempt |
—
|
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: Contempt | Statement: [Jeremy Prokosch, fromWorkEnglishTitle, Contempt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fromWorkEnglishTitle Context triple: [Jeremy Prokosch, fromWorkEnglishTitle, Contempt]
-
A.
usedInWorkEnglishTitle
chosen
Indicates that something (such as a term, concept, or element) is used within a work whose title is given in English.
-
B.
fromWorkOriginalTitle
Indicates that an entity originates from or is based on a work whose original title is the one specified.
-
C.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
D.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
E.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
- 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_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_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 7:29 p.m.