Triple

T4412827
Position Surface form Disambiguated ID Type / Status
Subject Curlin E94889 entity
Predicate notableProgeny P50188 FINISHED
Object Vino Rosso
Vino Rosso is an American Thoroughbred racehorse best known for winning the 2019 Breeders’ Cup Classic and being a top-level dirt router.
 E436926 NE FINISHED

How this triple was built (4 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: Vino Rosso | Statement: [Curlin, notableProgeny, Vino Rosso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vino Rosso
Context triple: [Curlin, notableProgeny, Vino Rosso]
  • A. Chianti
    Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
  • B. Dolcetto
    Dolcetto is a dark-skinned Italian wine grape variety from Piedmont known for producing soft, fruity, early-drinking red wines with low acidity and gentle tannins.
  • C. Montepulciano
    Montepulciano is a historic hilltop town in Tuscany, Italy, renowned for its Renaissance architecture and Vino Nobile wine.
  • D. Barolo
    Barolo is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its powerful structure, complex aromas, and long aging potential.
  • E. Sangiovese
    Sangiovese is a prominent Italian red wine grape variety best known as the primary component of wines like Chianti and Brunello di Montalcino.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Vino Rosso
Triple: [Curlin, notableProgeny, Vino Rosso]
Generated description
Vino Rosso is an American Thoroughbred racehorse best known for winning the 2019 Breeders’ Cup Classic and being a top-level dirt router.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vino Rosso
Target entity description: Vino Rosso is an American Thoroughbred racehorse best known for winning the 2019 Breeders’ Cup Classic and being a top-level dirt router.
  • A. Chianti
    Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
  • B. Dolcetto
    Dolcetto is a dark-skinned Italian wine grape variety from Piedmont known for producing soft, fruity, early-drinking red wines with low acidity and gentle tannins.
  • C. Montepulciano
    Montepulciano is a historic hilltop town in Tuscany, Italy, renowned for its Renaissance architecture and Vino Nobile wine.
  • D. Barolo
    Barolo is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its powerful structure, complex aromas, and long aging potential.
  • E. Sangiovese
    Sangiovese is a prominent Italian red wine grape variety best known as the primary component of wines like Chianti and Brunello di Montalcino.
  • F. None of above. chosen

Provenance (5 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:29 p.m.