Triple
T8107912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flower Song (La fleur que tu m’avais jetée) |
E189271
|
entity |
| Predicate | operaOriginalLanguage |
P78807
|
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: [Flower Song (La fleur que tu m’avais jetée), operaOriginalLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaOriginalLanguage Context triple: [Flower Song (La fleur que tu m’avais jetée), operaOriginalLanguage, French]
-
A.
broadwayOriginalLanguage
Indicates the original language in which a Broadway production was first written or performed.
-
B.
originalLanguageOfLibretto
chosen
Indicates the language in which a libretto was originally written for a given work.
-
C.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
D.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
-
E.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fa40e08190955fccec1a28eb34 |
completed | March 31, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:32 p.m.