Triple
T22823089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse & Joy |
E565277
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Joy Huerta |
—
|
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: Joy Huerta | Statement: [Jesse & Joy, hasPart, Joy Huerta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy Huerta Context triple: [Jesse & Joy, hasPart, Joy Huerta]
-
A.
Joy Huerta
chosen
Joy Huerta is a Mexican singer, songwriter, and guitarist best known as one half of the Latin pop duo Jesse & Joy.
-
B.
Sofia Huerta
Sofia Huerta is a professional American soccer player and United States women’s national team defender known for her versatility and attacking contributions from the back line.
-
C.
Angelica Fuentes
Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
-
D.
Mayte Garcia
Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
-
E.
Lourdes Munguía
Lourdes Munguía is a Mexican actress known for her extensive work in telenovelas and film since the late 1970s.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd2005081909baef070124eb839 |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:34 p.m.