Triple
T25632673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Volonté de savoir |
E642613
|
entity |
| Predicate | englishEditionTitle |
P6688
|
FINISHED |
| Object | The History of Sexuality, Volume 1: An Introduction |
—
|
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: The History of Sexuality, Volume 1: An Introduction | Statement: [La Volonté de savoir, englishEditionTitle, The History of Sexuality, Volume 1: An Introduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishEditionTitle Context triple: [La Volonté de savoir, englishEditionTitle, The History of Sexuality, Volume 1: An Introduction]
-
A.
EnglishEditionPublicationYear
Indicates the calendar year in which the English-language edition of a work was first published.
-
B.
EnglishEditionURL
Indicates the web address where the English-language edition or version of an item can be accessed.
-
C.
titleInEnglish
chosen
Indicates that an entity’s title or name is given in the English language.
-
D.
englishEditionEditor
Indicates that the subject is the person or entity responsible for editing the English-language edition of the object.
-
E.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa5ed46081909187da61c7842830 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:19 p.m.