Triple
T16034115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Sean Connery |
E388922
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Micheline Roquebrune |
E397789
|
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: Micheline Roquebrune | Statement: [Thomas Sean Connery, spouse, Micheline Roquebrune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micheline Roquebrune Context triple: [Thomas Sean Connery, spouse, Micheline Roquebrune]
-
A.
Micheline Roquebrune
chosen
Micheline Roquebrune is a French-Moroccan painter and golf enthusiast best known as the longtime wife of Scottish actor Sean Connery.
-
B.
Germaine Aussey
Germaine Aussey was a French film actress active in the 1930s and 1940s, known for her roles in comedies and popular European cinema of the era.
-
C.
Andrée Vaurabourg
Andrée Vaurabourg was a French pianist and music teacher known for her close association with early 20th-century French classical music circles.
-
D.
Michèle Girardon
Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
-
E.
Odile Mallet
Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ec39a8819081c0cf996bc59416 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 4:56 a.m.