Triple
T15045069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La La La |
E379201
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | MoZella |
E784467
|
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: MoZella | Statement: [La La La, writer, MoZella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MoZella Context triple: [La La La, writer, MoZella]
-
A.
MoZella
chosen
MoZella is an American singer-songwriter best known for co-writing major pop hits, including Miley Cyrus's chart-topping single "Wrecking Ball."
-
B.
Mazz
Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
-
C.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
D.
Mozzy
Mozzy is an American rapper from Sacramento, California, known for his gritty street narratives and prolific output in West Coast hip-hop.
-
E.
Zocca
Zocca is a small Italian town in the Emilia-Romagna region, known as the birthplace of rock musician Vasco Rossi and for its Apennine mountain setting.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.