Triple
T10306275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Horse Records |
E241768
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object |
Jiva
Jiva was a 1970s American rock band known for blending pop, rock, and soul influences and for being one of the lesser-known acts signed to George Harrison’s Dark Horse Records label.
|
E854309
|
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: Jiva | Statement: [Dark Horse Records, hasArtist, Jiva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiva Context triple: [Dark Horse Records, hasArtist, Jiva]
-
A.
Jeeva
Jeeva was an Indian film director and cinematographer known for his visually distinctive work in Tamil cinema.
-
B.
Jagati
Jagati is a classical Vedic poetic meter characterized by longer lines, commonly used in hymns of the Rigveda.
-
C.
Vaisesika
Vaisesika is one of the six classical schools of Indian philosophy, known for its atomistic metaphysics and detailed categorization of reality.
-
D.
Videha
Videha was an ancient Indo-Aryan kingdom in the eastern Indian subcontinent, centered in the Mithila region and known from Vedic and later religious traditions.
-
E.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
- 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: Jiva Triple: [Dark Horse Records, hasArtist, Jiva]
Generated description
Jiva was a 1970s American rock band known for blending pop, rock, and soul influences and for being one of the lesser-known acts signed to George Harrison’s Dark Horse Records label.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jiva Target entity description: Jiva was a 1970s American rock band known for blending pop, rock, and soul influences and for being one of the lesser-known acts signed to George Harrison’s Dark Horse Records label.
-
A.
Jeeva
Jeeva was an Indian film director and cinematographer known for his visually distinctive work in Tamil cinema.
-
B.
Jagati
Jagati is a classical Vedic poetic meter characterized by longer lines, commonly used in hymns of the Rigveda.
-
C.
Vaisesika
Vaisesika is one of the six classical schools of Indian philosophy, known for its atomistic metaphysics and detailed categorization of reality.
-
D.
Videha
Videha was an ancient Indo-Aryan kingdom in the eastern Indian subcontinent, centered in the Mithila region and known from Vedic and later religious traditions.
-
E.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30a6c888190acdd0a645247736a |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d60be1481909dc1330f150e3897 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:46 a.m.