Triple
T23146826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Gallop |
E577616
|
entity |
| Predicate | grandsire |
P979
|
FINISHED |
| Object | Fappiano |
—
|
NE NERFINISHED |
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: Fappiano | Statement: [Victory Gallop, grandsire, Fappiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fappiano Context triple: [Victory Gallop, grandsire, Fappiano]
-
A.
Fappiano
chosen
Fappiano was a prominent American Thoroughbred racehorse and influential sire, best known as a leading source of stamina and class in modern bloodlines.
-
B.
Facinelli
Facinelli is an Italian-origin surname best known through American actor Peter Facinelli, recognized for roles in the Twilight film series and various television shows.
-
C.
Scardanelli
Scardanelli is an experimental, lyrical prose work by Austrian writer Friederike Mayröcker that blends poetry and fragmented narrative in a highly associative, avant-garde style.
-
D.
Pizzuti
Pizzuti is an Italian-origin surname notably borne by Linda Pizzuti Henry, an American businesswoman and media executive.
-
E.
Maggia
Maggia is a river in the Swiss canton of Ticino that flows from the Alps into Lake Maggiore.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecee3808190aadc65c312f79f32 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.