Triple
T13350770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wim Wenders |
E318061
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Pina |
E1034712
|
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: Pina | Statement: [Wim Wenders, directed, Pina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pina Context triple: [Wim Wenders, directed, Pina]
-
A.
Pina
Pina is a Spanish surname most notably associated with Álex Pina, the television producer and creator behind the hit series "La Casa de Papel" ("Money Heist").
-
B.
Pina
chosen
Pina is a 2011 3D documentary film by Wim Wenders that pays tribute to the life and work of German choreographer Pina Bausch through performances by her dance company.
-
C.
Pina
Pina is a coastal neighborhood and beach area in the city of Recife, Brazil, known for its urban shoreline and proximity to the city’s commercial districts.
-
D.
Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
-
E.
Totó la Momposina
Totó la Momposina is a renowned Colombian singer and folklorist celebrated for preserving and popularizing traditional Afro-Indigenous and Caribbean coastal music.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72675c87c8190b26991b55092c444 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:31 p.m.