Triple
T30995377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Félix Kir |
E789781
|
entity |
| Predicate | hasAperitifNamedAfter |
P60309
|
FINISHED |
| Object |
Kir (cocktail)
Kir is a classic French aperitif cocktail made by mixing dry white wine with crème de cassis, named in honor of Canon Félix Kir.
|
E1940163
|
NE FINISHED |
How this triple was built (3 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: Kir (cocktail) | Statement: [Félix Kir, hasAperitifNamedAfter, Kir (cocktail)]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kir (cocktail) Triple: [Félix Kir, hasAperitifNamedAfter, Kir (cocktail)]
Generated description
Kir is a classic French aperitif cocktail made by mixing dry white wine with crème de cassis, named in honor of Canon Félix Kir.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAperitifNamedAfter Context triple: [Félix Kir, hasAperitifNamedAfter, Kir (cocktail)]
-
A.
hasDrinkNamedAfter
chosen
Indicates that one entity has a beverage that is named after another entity.
-
B.
hasSparklingWine
Indicates that an entity possesses, includes, or is associated with sparkling wine.
-
C.
hasChampagneBar
Indicates that an entity includes, features, or is equipped with a champagne bar.
-
D.
hasSommelier
Indicates that one entity is served, advised, or attended by a sommelier associated with it.
-
E.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
- F. None of above.
Provenance (6 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28fbcbc37c8190bbe0bd369304bda8 |
completed | June 10, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_6a28fe208cc48190a21a2074dba140bf |
completed | June 10, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28fe9c8fa88190af90e6f865d1fa54 |
completed | June 10, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 29, 2026, 8:56 p.m.