Triple
T22578503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myka 9 |
E544492
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Haiku d’Etat |
—
|
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: Haiku d’Etat | Statement: [Myka 9, associatedAct, Haiku d’Etat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haiku d’Etat Context triple: [Myka 9, associatedAct, Haiku d’Etat]
-
A.
Haiku D’Etat
chosen
Haiku D’Etat is an underground hip hop supergroup known for its poetic lyricism and innovative, jazz-influenced production.
-
B.
Haikasoru
Haikasoru is a publishing imprint of Viz Media that specializes in translating and releasing Japanese science fiction and fantasy novels in English.
-
C.
Kafima
Kafima were a historical people or community associated with the Ovamboland region in what is today northern Namibia and southern Angola.
-
D.
The Republic of Poetry
The Republic of Poetry is a celebrated poetry collection by Martín Espada that imagines a utopian world where poetry and social justice are central to everyday life.
-
E.
Haikai Taiyō
Haikai Taiyō is a critical work by Japanese poet Masaoka Shiki that helped modernize and redefine the principles of haiku and haikai poetry.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.