Triple
T13696499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aceyalone |
E328397
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Myka 9 |
E544492
|
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: Myka 9 | Statement: [Aceyalone, associatedAct, Myka 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myka 9 Context triple: [Aceyalone, associatedAct, Myka 9]
-
A.
Myka 9
chosen
Myka 9 is an influential Los Angeles underground hip-hop MC and founding member of the group Freestyle Fellowship, known for his complex, jazz-influenced lyrical style.
-
B.
Macie
Macie is the surname of Elizabeth Hungerford Keate Macie, the English mother of chemist and mineralogist James Smithson, founder of the Smithsonian Institution.
-
C.
Rev-9
Rev-9 is an advanced, shape-shifting Terminator model capable of separating into two autonomous units, serving as the primary antagonist in the film "Terminator: Dark Fate."
-
D.
Agent 9
Agent 9 is a hyperactive, gun-toting anthropomorphic character from the Spyro video game series who assists Spyro on various missions.
-
E.
Messy Mya
Messy Mya was a New Orleans bounce rapper, comedian, and internet personality known for his viral YouTube videos and influence on the city’s bounce music scene.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79453395481909d651cb3a128f23d |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.