Triple
T13726751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.A. Wallach |
E329677
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Music 4 TNGRS |
E329681
|
NE FINISHED |
How this triple was built (2 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: Music 4 TNGRS | Statement: [D.A. Wallach, notableWork, Music 4 TNGRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Music 4 TNGRS Context triple: [D.A. Wallach, notableWork, Music 4 TNGRS]
-
A.
Music 4 Tngrs
chosen
Music 4 Tngrs is an album by the American indie pop band Chester French that showcases their eclectic, hook-driven sound.
-
B.
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.
-
C.
Option Musique
Option Musique is a Swiss radio station operated by Radio Télévision Suisse that focuses on popular music programming.
-
D.
Tuneheadz
Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
-
E.
VK Music
VK Music is a Russian music streaming and audio platform integrated into the VK social network, offering on-demand listening, playlists, and recommendations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.