Triple
T4489779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Muller |
E107341
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Shakira |
E39422
|
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: Shakira | Statement: [Sophie Muller, hasWorkedWith, Shakira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shakira Context triple: [Sophie Muller, hasWorkedWith, Shakira]
-
A.
Shakira
chosen
Shakira is a Colombian singer, songwriter, and performer renowned worldwide for her distinctive voice, Latin pop hits, and dynamic dance style.
-
B.
Shakira Caine
Shakira Caine is a Guyanese-British former fashion model and actress best known as the longtime wife of acclaimed English actor Michael Caine.
-
C.
Kany García
Kany García is a Puerto Rican singer-songwriter known for her emotive Latin pop and ballads, multiple Latin Grammy Awards, and advocacy for LGBTQ+ rights.
-
D.
Thalía
Thalía is a Mexican singer, actress, and businesswoman widely known as the "Queen of Latin Pop" for her influential music career and telenovela roles.
-
E.
Rosalía
Rosalía is a Spanish singer and songwriter known for blending flamenco with contemporary pop and urban music, gaining international acclaim for her innovative sound and visuals.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67a90f308190ab4f912cd1e2f692 |
completed | March 20, 2026, 3:28 p.m. |
Created at: March 20, 2026, 12:59 p.m.