Triple
T14648051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Bataille |
E343906
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bataille |
E1108388
|
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: Bataille | Statement: [Sylvia Bataille, familyName, Bataille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bataille Context triple: [Sylvia Bataille, familyName, Bataille]
-
A.
Bataille
chosen
Bataille is a French surname most famously associated with Georges Bataille, the influential 20th-century writer and philosopher known for his work on eroticism, transgression, and the sacred.
-
B.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
C.
Kampen
Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
-
D.
Kampen
Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
-
E.
Battir
Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d7915c8190ae690810110c0b60 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.