Triple
T3732468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skowhegan Indian sculpture |
E79098
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Bernard Langlais |
E451228
|
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: Bernard Langlais | Statement: [Skowhegan Indian sculpture, artist, Bernard Langlais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Langlais Context triple: [Skowhegan Indian sculpture, artist, Bernard Langlais]
-
A.
Bernard Langlais
chosen
Bernard Langlais was an American artist best known for his large-scale wooden sculptures and reliefs, often depicting animals and figures in a bold, rustic style.
-
B.
Pierre Rousseau
Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
-
C.
Louis Boisot
Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
-
D.
Bernard Guillembet
Bernard Guillembet was a mountaineer known for making the first recorded ascent of Vignemale in the Pyrenees.
-
E.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb2277a48190ae7594c4c4965a01 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc51a7c6081909eeda563a4485e87 |
completed | March 20, 2026, 10:07 p.m. |
Created at: March 8, 2026, 3:34 p.m.