Triple
T3523428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tingle Creek Chase |
E74479
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Sire de Grugy
Sire de Grugy is a top-class British National Hunt racehorse best known as a champion two-mile chaser and winner of major Grade 1 races.
|
E364776
|
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: Sire de Grugy | Statement: [Tingle Creek Chase, notableWinner, Sire de Grugy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sire de Grugy Context triple: [Tingle Creek Chase, notableWinner, Sire de Grugy]
-
A.
Grolleau
Grolleau is a French red grape variety primarily used to produce light, fruity rosé and red wines, especially in the Anjou region.
-
B.
Jean Lion
Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
-
C.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
- 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: Sire de Grugy Triple: [Tingle Creek Chase, notableWinner, Sire de Grugy]
Generated description
Sire de Grugy is a top-class British National Hunt racehorse best known as a champion two-mile chaser and winner of major Grade 1 races.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sire de Grugy Target entity description: Sire de Grugy is a top-class British National Hunt racehorse best known as a champion two-mile chaser and winner of major Grade 1 races.
-
A.
Grolleau
Grolleau is a French red grape variety primarily used to produce light, fruity rosé and red wines, especially in the Anjou region.
-
B.
Jean Lion
Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
-
C.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4f16b8819094ad2755670ddc7b |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e8ae87481909eabd5847fbfa617 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37eecfe0881909265b48c624be61f |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37f5574b08190bdde80b47f2cb99c |
completed | March 13, 2026, 3:07 a.m. |
Created at: March 8, 2026, 3:19 p.m.