Triple
T15166068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camoufleur |
E362343
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Black Horse
"Black Horse" is a song by the British art rock band Camoufleur.
|
E1141614
|
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: Black Horse | Statement: [Camoufleur, hasTrack, Black Horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Horse Context triple: [Camoufleur, hasTrack, Black Horse]
-
A.
Black Horse
Black Horse is a UK-based finance company best known for providing motor and other consumer finance services as part of the Lloyds Banking Group.
-
B.
High Horse
High Horse is a bar and restaurant located within the Heartland complex, known for its casual atmosphere and social gathering space.
-
C.
High Horse
"High Horse" is a disco-influenced country-pop song by American singer-songwriter Kacey Musgraves, known for its witty lyrics and genre-blending production.
-
D.
Darkhorse
Darkhorse is the storied nickname of the U.S. Marine Corps’ 3rd Battalion, 5th Marines, renowned for its combat service and battlefield sacrifices.
-
E.
The Horses
"The Horses" is a celebrated early poem by Ted Hughes that vividly depicts a post-apocalyptic dawn encounter with silent, monumental horses, exploring themes of nature’s power and human renewal.
- 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: Black Horse Triple: [Camoufleur, hasTrack, Black Horse]
Generated description
"Black Horse" is a song by the British art rock band Camoufleur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Horse Target entity description: "Black Horse" is a song by the British art rock band Camoufleur.
-
A.
Black Horse
Black Horse is a UK-based finance company best known for providing motor and other consumer finance services as part of the Lloyds Banking Group.
-
B.
High Horse
High Horse is a bar and restaurant located within the Heartland complex, known for its casual atmosphere and social gathering space.
-
C.
High Horse
"High Horse" is a disco-influenced country-pop song by American singer-songwriter Kacey Musgraves, known for its witty lyrics and genre-blending production.
-
D.
Darkhorse
Darkhorse is the storied nickname of the U.S. Marine Corps’ 3rd Battalion, 5th Marines, renowned for its combat service and battlefield sacrifices.
-
E.
The Horses
"The Horses" is a celebrated early poem by Ted Hughes that vividly depicts a post-apocalyptic dawn encounter with silent, monumental horses, exploring themes of nature’s power and human renewal.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec887fbf08190b42dd25a99b7770d |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
Created at: April 10, 2026, 3:08 a.m.