Triple
T7465472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man Who Would Be King |
E176361
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Shakira Caine |
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 Caine | Statement: [The Man Who Would Be King, starredActor, Shakira Caine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shakira Caine Context triple: [The Man Who Would Be King, starredActor, Shakira Caine]
-
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.
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.
Cristina Iglesias
Cristina Iglesias is a renowned Spanish sculptor and installation artist celebrated for her large-scale, site-specific works that often integrate architectural forms and natural elements.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f28f34819080713a8abcc22034 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8346adb3081908f049d8dcd623215 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:40 p.m.