Triple
T2408143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlaymont building |
E50322
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | André Polak |
E255313
|
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: André Polak | Statement: [Berlaymont building, architect, André Polak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Polak Context triple: [Berlaymont building, architect, André Polak]
-
A.
Michel Andrault
chosen
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
B.
Pierre Parat
Pierre Parat was a prominent French architect known for his influential modernist designs and recognition by major national architecture awards.
-
C.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
-
D.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
-
E.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc92408308190ad2d331ebee71d15 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3eba9d08190a2c63e590e08b4df |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:58 p.m.