Triple
T8293336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copper Horse statue |
E193951
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Copper Horse |
E723542
|
NE FINISHED |
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: The Copper Horse | Statement: [Copper Horse statue, alsoKnownAs, The Copper Horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Copper Horse Context triple: [Copper Horse statue, alsoKnownAs, The Copper Horse]
-
A.
Copper Horse
chosen
Copper Horse is a famous equestrian statue of King George III located at the end of the Long Walk in Windsor Great Park, England.
-
B.
The Ebony Horse
The Ebony Horse is a fantastical tale from The Arabian Nights about a magical mechanical steed that can fly its rider to distant lands, blending romance, adventure, and wonder.
-
C.
The Blue Horse
The Blue Horse was the traditional nickname of the 4th Royal Irish Dragoon Guards, a cavalry regiment of the British Army.
-
D.
The Unicorn
"The Unicorn" is a whimsical folk song, popularized by The Irish Rovers, that humorously tells the story of how unicorns missed boarding Noah’s Ark.
-
E.
The Pale Horse
The Pale Horse is a British television adaptation of Agatha Christie's mystery novel, featuring Rita Tushingham in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9deb50819086ae9c97b03fefc3 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952e038c819090023cbcdab1e3ae |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:52 p.m.