Triple
T6015755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Campra |
E133945
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Campra |
E372383
|
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: Campra | Statement: [André Campra, familyName, Campra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campra Context triple: [André Campra, familyName, Campra]
-
A.
Mascarille
Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
-
B.
Guamo
Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
-
C.
Filabusi
Filabusi is a small mining and agricultural town in southwestern Zimbabwe that serves as a local commercial and administrative center.
-
D.
Echenique
chosen
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Coma Pedrosa
Coma Pedrosa is the tallest mountain in Andorra, known for its rugged alpine terrain and popular hiking routes.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f80ec108190ae9711727debb061 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108ade3948190994fbaa2a5539216 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.