Triple
T20037038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come N See Me |
E497298
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Marz |
—
|
NE NERFINISHED |
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: Marz | Statement: [Come N See Me, producer, Marz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marz Context triple: [Come N See Me, producer, Marz]
-
A.
Marz
chosen
Marz is a music producer best known for working on The Weeknd’s EP "My Dear Melancholy," contributing to its dark, atmospheric sound.
-
B.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
C.
Messas
Messas is a Jewish family name notably associated with prominent rabbis and religious leaders, including Rabbi Shalom Messas.
-
D.
Marsamaroc
Marsamaroc is a Moroccan state-owned port authority and logistics company that manages and operates major seaports across Morocco.
-
E.
Mi'ilya
Mi'ilya is a village in northern Israel, notable for its predominantly Christian Arab population and its location near the city of Ma'alot-Tarshiha.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e8573081909f71fda640aa3220 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.