Triple
T15826810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titsian Tabidze |
E383764
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Blue Horns
Blue Horns was a Georgian early 20th-century literary group known for its symbolist and modernist poetry.
|
E1178785
|
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: Blue Horns | Statement: [Titsian Tabidze, memberOf, Blue Horns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Horns Context triple: [Titsian Tabidze, memberOf, Blue Horns]
-
A.
The Horns
The Horns are a distinctive set of rugged mountain peaks located within South Africa’s Cathedral Peak Nature Reserve in the Drakensberg range.
-
B.
The Horns
The Horns is a prominent twin-peaked mountain feature in western Maine popular with hikers for its rugged terrain and scenic views.
-
C.
The Horny Horns
The Horny Horns were a prominent funk horn section led by trombonist Fred Wesley and saxophonist Maceo Parker, best known for their powerful brass work with George Clinton’s P-Funk collective and related projects.
-
D.
Red Cow
Red Cow is a major Luas light rail stop and park-and-ride interchange on the outskirts of Dublin, Ireland.
-
E.
Let There Be Horns
"Let There Be Horns" is a track by American producer RJD2, known for its sample-based, instrumental hip hop style and cinematic, horn-driven sound.
- 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: Blue Horns Triple: [Titsian Tabidze, memberOf, Blue Horns]
Generated description
Blue Horns was a Georgian early 20th-century literary group known for its symbolist and modernist poetry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Horns Target entity description: Blue Horns was a Georgian early 20th-century literary group known for its symbolist and modernist poetry.
-
A.
The Horns
The Horns are a distinctive set of rugged mountain peaks located within South Africa’s Cathedral Peak Nature Reserve in the Drakensberg range.
-
B.
The Horns
The Horns is a prominent twin-peaked mountain feature in western Maine popular with hikers for its rugged terrain and scenic views.
-
C.
The Horny Horns
The Horny Horns were a prominent funk horn section led by trombonist Fred Wesley and saxophonist Maceo Parker, best known for their powerful brass work with George Clinton’s P-Funk collective and related projects.
-
D.
Red Cow
Red Cow is a major Luas light rail stop and park-and-ride interchange on the outskirts of Dublin, Ireland.
-
E.
Let There Be Horns
"Let There Be Horns" is a track by American producer RJD2, known for its sample-based, instrumental hip hop style and cinematic, horn-driven sound.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e60fe748190baa49c49605efd0d |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999da5008190921b3f129787999e |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a82cadc8190a57f40062d29a998 |
completed | May 9, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b5dbf80819085fdfcdff424511b |
completed | May 9, 2026, 8:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.