Triple
T9880296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muni Long |
E180782
|
entity |
| Predicate | hasStageName |
P7872
|
FINISHED |
| Object | Muni Long |
E180782
|
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: Muni Long | Statement: [Muni Long, hasStageName, Muni Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muni Long Context triple: [Muni Long, hasStageName, Muni Long]
-
A.
Muni Long
chosen
Muni Long is an American singer-songwriter known for her viral R&B hit "Hrs & Hrs" and for penning songs for major artists before rising as a solo star.
-
B.
D'Mile
D'Mile is a Grammy-winning American record producer and songwriter known for his work with artists like H.E.R., Silk Sonic, and Lucky Daye.
-
C.
Max Nanasy
Max Nanasy is a software engineer and writer known for contributions to programming tools and documentation, including work related to JSON5.
-
D.
N’Dare Munroe
N’Dare Munroe is the Kenyan tribal princess and mother of the X-Men member Storm (Ororo Munroe) in Marvel Comics lore.
-
E.
Taye
Taye is the professional nickname of American actor and singer Taye Diggs, known for his work in film, television, and theater.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4146fe881908f9fc553dfca31e1 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e48665e88190ab8a4a30b1df8ebe |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:38 p.m.