Triple
T6463293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Champ |
E142172
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tuneheadz
Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
|
E594369
|
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: Tuneheadz | Statement: [Grand Champ, producer, Tuneheadz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuneheadz Context triple: [Grand Champ, producer, Tuneheadz]
-
A.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
B.
Music Concourse
Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
-
C.
Audiomack
Audiomack is a music streaming and audio discovery platform known for hosting and promoting emerging artists, mixtapes, and independent releases.
-
D.
Tune
Tune is a historic Viking ship burial site in Norway, notable for yielding one of the earliest known Viking ships, the Tune ship.
-
E.
Tune
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
- 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: Tuneheadz Triple: [Grand Champ, producer, Tuneheadz]
Generated description
Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuneheadz Target entity description: Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
-
A.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
B.
Music Concourse
Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
-
C.
Audiomack
Audiomack is a music streaming and audio discovery platform known for hosting and promoting emerging artists, mixtapes, and independent releases.
-
D.
Tune
Tune is a historic Viking ship burial site in Norway, notable for yielding one of the earliest known Viking ships, the Tune ship.
-
E.
Tune
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f9b58081909412b9da753b9285 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be4e6888190a685f447e9950163 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64e4413f481908561a86bc9a9b0b2 |
completed | March 27, 2026, 9:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64ec0d40881908fda2e994f0f6ed5 |
completed | March 27, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:49 p.m.