Triple
T3516696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maunoir |
E74324
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Théodore Maunoir |
E17225
|
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: Théodore Maunoir | Statement: [Maunoir, hasNotableBearer, Théodore Maunoir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Théodore Maunoir Context triple: [Maunoir, hasNotableBearer, Théodore Maunoir]
-
A.
Théodore Maunoir
chosen
Théodore Maunoir was a Swiss physician and humanitarian who was one of the key co-founders of the International Committee of the Red Cross in the 19th century.
-
B.
Pierre-Adolphe Valette
Pierre-Adolphe Valette was a French-born painter and influential art teacher in Manchester, best known for his atmospheric urban scenes and for mentoring the young L. S. Lowry.
-
C.
Émile Chassinat
Émile Chassinat was a French Egyptologist known for his archaeological work and publications on ancient Egyptian temples and inscriptions.
-
D.
Henri Contet
Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
-
E.
Émile Nouguier
Émile Nouguier was a French civil engineer best known as one of the principal designers of the Eiffel Tower.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc31c0688190a890621a901f5f5f |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfcb931f908190b72d825b95ae4861 |
completed | March 22, 2026, 10:59 a.m. |
Created at: March 8, 2026, 3:19 p.m.