Triple
T30911916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Madwoman of Chaillot (1948 stage adaptation in English) |
E787475
|
entity |
| Predicate | hasSourceWorkLanguage |
P34465
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [The Madwoman of Chaillot (1948 stage adaptation in English), hasSourceWorkLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSourceWorkLanguage Context triple: [The Madwoman of Chaillot (1948 stage adaptation in English), hasSourceWorkLanguage, French]
-
A.
hasSourceWork
Indicates that something originates from, is derived from, or is based on a particular source work.
-
B.
languageOfParentWork
chosen
Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
-
C.
publicationLanguageOfSourceWork
Indicates the language in which the original source work was published.
-
D.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
E.
hasSourceLanguageForLoanwords
Indicates that a language serves as the original source from which loanwords are borrowed into another 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 8:51 p.m.