Triple
T10463080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakira Caine |
E246724
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Shakira Baksh |
E246724
|
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 Baksh | Statement: [Shakira Caine, birthName, Shakira Baksh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shakira Baksh Context triple: [Shakira Caine, birthName, Shakira Baksh]
-
A.
Shakira Caine
chosen
Shakira Caine is a Guyanese-British former fashion model and actress best known as the longtime wife of acclaimed English actor Michael Caine.
-
B.
Shakira
Shakira is a Colombian singer, songwriter, and performer renowned worldwide for her distinctive voice, Latin pop hits, and dynamic dance style.
-
C.
Mutya Orquia
Mutya Orquia is a Filipino child actress best known for her roles in popular Philippine television dramas and series.
-
D.
Siparia
Siparia is a town in southern Trinidad known historically for its oil industry and its multicultural religious pilgrimage site, La Divina Pastora.
-
E.
Elida Reyna
Elida Reyna is an American Tejano singer widely recognized for her influential role in modern Tejano music and multiple award-winning recordings.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50884fac48190af22e181b1492557 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc4fbc3481909b214137f26e243b |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.