Triple
T18048587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aries |
E431865
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Que Nivel de Mujer |
—
|
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: Que Nivel de Mujer | Statement: [Aries, hasPart, Que Nivel de Mujer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Que Nivel de Mujer Context triple: [Aries, hasPart, Que Nivel de Mujer]
-
A.
Que Nivel de Mujer
chosen
"Que Nivel de Mujer" is a popular Latin pop song by the Mexican band Aries, known for its romantic style and emotive vocals.
-
B.
The Women and The Men
The Women and The Men is a poetry collection by Nikki Giovanni that explores themes of Black identity, gender, love, and social justice during the Black Arts Movement era.
-
C.
Ten Women
"Ten Women" is a song by the indie rock band Outer South, known for its reflective lyrics and melodic, guitar-driven sound.
-
D.
Muchachitas
Muchachitas is a popular Mexican telenovela from the early 1990s that follows the intertwined lives and ambitions of four young women.
-
E.
Up the Women
Up the Women is a British sitcom set in 1910 that follows a group of women in a small English town as they become involved in the suffragette movement.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.