Triple
T10226603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Holm |
E243220
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sophie de Stempel |
E243220
|
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: Sophie de Stempel | Statement: [Ian Holm, spouse, Sophie de Stempel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie de Stempel Context triple: [Ian Holm, spouse, Sophie de Stempel]
-
A.
Sophie de Stempel
chosen
Sophie de Stempel is a British artist best known as the widow of acclaimed actor Sir Ian Holm.
-
B.
Catherine De Bolle
Catherine De Bolle is a Belgian police official and former Commissioner General of the Belgian Federal Police who serves as the Executive Director of Europol.
-
C.
Sonia Bompastor
Sonia Bompastor is a former French international footballer and current manager, best known as a standout left-sided player for club and country and later as head coach of Olympique Lyonnais Féminin.
-
D.
Stéphanie Von Euw
Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
-
E.
Christine Leunens
Christine Leunens is a New Zealand–based Belgian-American novelist best known for her book "Caging Skies," which was adapted into the Oscar-winning film "Jojo Rabbit."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fa98a48190a5caf6b6003bc14c |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f71fb4048190a36f1fe499729332 |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:17 a.m.