Triple
T10048896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo-Yo |
E207689
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yo-Yo |
E207689
|
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-Yo | Statement: [Yo-Yo, name, Yo-Yo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yo-Yo Context triple: [Yo-Yo, name, Yo-Yo]
-
A.
Yo-Yo
Yo-Yo is the given name of Yo-Yo Ma, the renowned Chinese-American cellist celebrated for his virtuosity and diverse musical collaborations.
-
B.
Yo-Yo
chosen
Yo-Yo is an American rapper and actress known for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
-
C.
Yo Yo Yo
"Yo Yo Yo" is a track featured on the indie rock compilation album "Take 'Em to the Cleaners" by the band The Cleaners from Venus.
-
D.
Yakety Yak
"Yakety Yak" is a 1958 rock and roll and rhythm and blues hit song, originally recorded by the Coasters, known for its humorous lyrics about teenage rebellion and parental nagging.
-
E.
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.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2828f3980819083d041f09e63d8e6 |
completed | April 5, 2026, 3:41 p.m. |
Created at: March 30, 2026, 8:56 p.m.