Triple
T5169052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’École des femmes |
E116628
|
entity |
| Predicate | writtenInVerse |
P36572
|
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: [L’École des femmes, writtenInVerse, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenInVerse Context triple: [L’École des femmes, writtenInVerse, yes]
-
A.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
B.
lyricsWrittenWith
Indicates that the lyrics were written in collaboration with or using the assistance of another party or tool.
-
C.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
D.
verse
Indicates that one entity is in opposition or conflict against another, as in a competitive or adversarial relationship.
-
E.
hasPoeticLyrics
chosen
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794dd9988190922e138f2a9a3c62 |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.