Triple
T21877520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Attack |
E540186
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
How Many Horses
"How Many Horses" is a track by the hip-hop artist Hard Attack, known within underground rap circles.
|
E1505930
|
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: How Many Horses | Statement: [Hard Attack, hasTrack, How Many Horses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Many Horses Context triple: [Hard Attack, hasTrack, How Many Horses]
-
A.
Three Horses
Three Horses is a track featured on the album "Blessed Are..." by Joan Baez.
-
B.
Four Kinds of Horses
"Four Kinds of Horses" is a contemplative, atmospheric art-rock song by Peter Gabriel that blends spiritual themes with layered electronic and orchestral textures.
-
C.
Spotted Horses
"Spotted Horses" is a comic short story by William Faulkner about a chaotic auction of wild ponies in a small Southern town, showcasing his trademark blend of dark humor and regional character.
-
D.
Fresh Horses
Fresh Horses is a 1988 romantic drama film starring Molly Ringwald and Andrew McCarthy about a wealthy college student drawn into a complicated relationship with a mysterious young woman from a poorer background.
-
E.
I Chose Horses
"I Chose Horses" is a music track associated with YouTuber and philanthropist MrBeast, reflecting his distinctive, high-energy online persona.
- 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: How Many Horses Triple: [Hard Attack, hasTrack, How Many Horses]
Generated description
"How Many Horses" is a track by the hip-hop artist Hard Attack, known within underground rap circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: How Many Horses Target entity description: "How Many Horses" is a track by the hip-hop artist Hard Attack, known within underground rap circles.
-
A.
Three Horses
Three Horses is a track featured on the album "Blessed Are..." by Joan Baez.
-
B.
Four Kinds of Horses
"Four Kinds of Horses" is a contemplative, atmospheric art-rock song by Peter Gabriel that blends spiritual themes with layered electronic and orchestral textures.
-
C.
Spotted Horses
"Spotted Horses" is a comic short story by William Faulkner about a chaotic auction of wild ponies in a small Southern town, showcasing his trademark blend of dark humor and regional character.
-
D.
Fresh Horses
Fresh Horses is a 1988 romantic drama film starring Molly Ringwald and Andrew McCarthy about a wealthy college student drawn into a complicated relationship with a mysterious young woman from a poorer background.
-
E.
I Chose Horses
"I Chose Horses" is a music track associated with YouTuber and philanthropist MrBeast, reflecting his distinctive, high-energy online persona.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33c012c819096d0f7b2ffdc7a2f |
completed | April 28, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52a21e8c81909768bd08ef720b84 |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a5393ea6481909b81d825b8b6da41 |
completed | May 17, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a540c9f208190a6d498eb3ceb53c4 |
completed | May 17, 2026, 11:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.