Triple
T20833396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Sauvages |
E512890
|
entity |
| Predicate | commonlyExcerpted |
P118452
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Les Sauvages, commonlyExcerpted, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyExcerpted Context triple: [Les Sauvages, commonlyExcerpted, yes]
-
A.
abridgedIn
Indicates that one entity is a shortened or condensed version of the content found within another entity.
-
B.
extractedIn
chosen
Indicates that one entity is obtained, derived, or separated from another entity through an extraction process.
-
C.
isOftenRecitedFor
Indicates that something (such as a text, phrase, or piece of music) is frequently spoken, chanted, or performed for a particular purpose, audience, or occasion.
-
D.
oftenCitedAs
Indicates that one entity is frequently referenced or mentioned as an example, source, or authority in relation to another entity.
-
E.
commonlyUsedInMediaOf
Indicates that something is frequently employed or featured within a particular medium or type of media.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32554648190bd66ac99b3a9072b |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:42 p.m.