Triple
T13611644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Messel |
E325202
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anne Messel |
E325202
|
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: Anne Messel | Statement: [Anne Messel, name, Anne Messel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Messel Context triple: [Anne Messel, name, Anne Messel]
-
A.
Anne Messel
chosen
Anne Messel was a British socialite from the prominent Messel family who became Countess of Rosse and was the mother of photographer and royal consort Antony Armstrong-Jones, 1st Earl of Snowdon.
-
B.
Léonie Cassel
Léonie Cassel is the younger daughter of Italian actress and model Monica Bellucci and French actor Vincent Cassel.
-
C.
Hermine Andermann
Hermine Andermann was the mother of Austrian-American mathematician Karl Menger.
-
D.
Helene Tutein
Helene Tutein was the wife of German painter, sculptor, and Bauhaus teacher Oskar Schlemmer.
-
E.
Marie Pillet
Marie Pillet was a French actress and activist, best known to many as the mother of filmmaker and actress Julie Delpy.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.