Triple
T11994473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmond Rostand |
E285492
|
entity |
| Predicate | Chantecler |
P102777
|
FINISHED |
| Object | premiered in 1910 |
—
|
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: premiered in 1910 | Statement: [Edmond Rostand, Chantecler, premiered in 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Chantecler Context triple: [Edmond Rostand, Chantecler, premiered in 1910]
-
A.
La Cotinière
Indicates a locational or associative relationship involving the place named "La Cotinière," such as being situated in, originating from, or otherwise connected to that locality.
-
B.
Pfifferdaj
Indicates a relationship or action associated with the Pfifferdaj festival or event, such as participation in, organization of, or occurrence during that festival.
-
C.
خيوط التطريز
Indicates the relationship of being threads specifically used for embroidery work.
-
D.
chickType
Indicates the specific category or kind that a chick belongs to (e.g., by breed, sex, or developmental classification).
-
E.
FrenchFlagship
Indicates that an entity serves as the primary or leading representative (flagship) of France in a given domain or context.
- F. None of above. chosen
Provenance (4 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d903a8695c8190bfa9d7ca50834f9f |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.