Triple
T13713144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonize |
E328824
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Harmonize |
E328824
|
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: Harmonize | Statement: [Harmonize, name, Harmonize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harmonize Context triple: [Harmonize, name, Harmonize]
-
A.
Harmonize
chosen
Harmonize is a Tanzanian singer and songwriter known for his Bongo Flava hits and for helping popularize East African music across the continent.
-
B.
Harmonizers
Harmonizers are the dedicated fanbase of the American girl group Fifth Harmony, known for their strong online presence and support of the group's music and members.
-
C.
Harmonizer
Harmonizer is a 2021 studio album by American garage rock musician Ty Segall, noted for its heavier, synth-laced sound and experimental production.
-
D.
HarmonQuest
HarmonQuest is a comedic live-action/animated role-playing game series that blends improvised tabletop adventures with animated reenactments, created by Dan Harmon and collaborators.
-
E.
State of Harmony
The State of Harmony is the popular nickname of Kwara State in Nigeria, reflecting its reputation for peaceful coexistence and cultural unity.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.