Triple
T15434318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Timothy Jenks |
E369718
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Yo!88 |
E369726
|
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: Yo!88 | Statement: [Jordan Timothy Jenks, notableWork, Yo!88]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yo!88 Context triple: [Jordan Timothy Jenks, notableWork, Yo!88]
-
A.
Yo!88
chosen
Yo!88 is a collaborative hip-hop album by producer-rapper Pi’erre Bourne and rapper TM88, showcasing their trap-influenced production and melodic rap style.
-
B.
Yo!
"Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
-
C.
The Yo
The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
-
D.
Yoyo
Yoyo is the official mascot character created for the 2015 World Championships in Athletics held in Beijing.
-
E.
Yoyo
"Yoyo" is a popular Afropop song by Nigerian singer and producer Selebobo, known for its catchy melody and danceable rhythm.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a3d1f481908f6795656514b2b4 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.