Triple
T11042181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenham Stakes |
E261043
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Frankel
Frankel is a legendary, unbeaten British Thoroughbred racehorse widely regarded as one of the greatest racehorses of all time.
|
E900939
|
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: Frankel | Statement: [Greenham Stakes, notableWinner, Frankel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankel Context triple: [Greenham Stakes, notableWinner, Frankel]
-
A.
Frankel
Frankel is the birth surname of American actress and comedian Bea Arthur, best known for her roles in the television series "Maude" and "The Golden Girls."
-
B.
Haskin
Haskin is a surname most notably associated with American film director and special effects pioneer Byron Haskin.
-
C.
Man o’ War
Man o’ War was a legendary American Thoroughbred racehorse widely regarded as one of the greatest racehorses of all time.
-
D.
Mr. Prospector
Mr. Prospector was a highly influential American Thoroughbred racehorse and sire, renowned as one of the most important stallions in modern racing and breeding history.
-
E.
Fusaichi Pegasus
Fusaichi Pegasus is a famous American Thoroughbred racehorse best known for winning the 2000 Kentucky Derby and later becoming one of the most expensive stallions ever sold.
- 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: Frankel Triple: [Greenham Stakes, notableWinner, Frankel]
Generated description
Frankel is a legendary, unbeaten British Thoroughbred racehorse widely regarded as one of the greatest racehorses of all time.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frankel Target entity description: Frankel is a legendary, unbeaten British Thoroughbred racehorse widely regarded as one of the greatest racehorses of all time.
-
A.
Frankel
Frankel is the birth surname of American actress and comedian Bea Arthur, best known for her roles in the television series "Maude" and "The Golden Girls."
-
B.
Haskin
Haskin is a surname most notably associated with American film director and special effects pioneer Byron Haskin.
-
C.
Man o’ War
Man o’ War was a legendary American Thoroughbred racehorse widely regarded as one of the greatest racehorses of all time.
-
D.
Mr. Prospector
Mr. Prospector was a highly influential American Thoroughbred racehorse and sire, renowned as one of the most important stallions in modern racing and breeding history.
-
E.
Fusaichi Pegasus
Fusaichi Pegasus is a famous American Thoroughbred racehorse best known for winning the 2000 Kentucky Derby and later becoming one of the most expensive stallions ever sold.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7980134c8819098122d83380a1f79 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9e525508190bf3a728683eeec79 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad024ee88190948d5d1c327fd063 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1fff754819092d634f46fb42387 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.