Triple
T17003440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Malan |
E412506
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | André Malan |
E412506
|
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: André Malan | Statement: [André Malan, name, André Malan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Malan Context triple: [André Malan, name, André Malan]
-
A.
André Malan
chosen
André Malan is a South African-born cricketer known for playing as a top-order batsman in domestic competitions.
-
B.
Marcel Moussy
Marcel Moussy was a French screenwriter and director best known for co-writing François Truffaut’s landmark New Wave film "The 400 Blows."
-
C.
Bernard Laporte
Bernard Laporte is a French rugby union coach, former France national team manager, and sports executive who has held top leadership roles in both French and international rugby governance.
-
D.
Marcel Guillemaud
Marcel Guillemaud was a writer whose work served as the basis for the film "Le Million."
-
E.
Phil Méheux
Phil Méheux is a British cinematographer known for his work on major films including James Bond entries like "GoldenEye" and "Casino Royale."
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37f8ba88190b8d32a1d09b6e6fd |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc2035848190bf299875d37c8ac7 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.