Triple
T13350759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wim Wenders |
E318061
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Pina
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.
|
E1034712
|
NE FINISHED |
How this triple was built (4 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, notableWork, Pina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pina Context triple: [Wim Wenders, notableWork, 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
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.
-
C.
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.
-
D.
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.
-
E.
Maite
Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pina Triple: [Wim Wenders, notableWork, Pina]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pina Target entity description: 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.
-
A.
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.
-
B.
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").
-
C.
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.
-
D.
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.
-
E.
Maite
Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
- F. None of above. chosen
Provenance (5 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_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204b6f108190bca6a0140620e03e |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720fbf0bc81908c68cf2844938e45 |
completed | May 3, 2026, 10:18 a.m. |
Created at: April 9, 2026, 9:31 p.m.