Triple
T8875192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. J. Ayer |
E211259
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Renée Lees |
E211259
|
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: Renée Lees | Statement: [A. J. Ayer, spouse, Renée Lees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renée Lees Context triple: [A. J. Ayer, spouse, Renée Lees]
-
A.
Renée Lees
chosen
Renée Lees was the wife of prominent British philosopher A. J. Ayer.
-
B.
Anne Rennie
Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
-
C.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
-
D.
Lorraine Broughton
Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
-
E.
Kathryn Beaumont
Kathryn Beaumont is a British-American actress and schoolteacher best known for providing the voice and live-action reference for Alice in Disney’s animated film "Alice in Wonderland" and Wendy in "Peter Pan."
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614565788190aa14535760df88c8 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05be377988190a59f0033322d627f |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 6:52 p.m.