Triple
T13632799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent Fabius |
E325764
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | André Fabius |
E325764
|
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 Fabius | Statement: [Laurent Fabius, father, André Fabius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Fabius Context triple: [Laurent Fabius, father, André Fabius]
-
A.
André Fabius
chosen
André Fabius was a French antiquarian and art dealer, best known as the father of former French Prime Minister Laurent Fabius.
-
B.
Frans Kellendonk
Frans Kellendonk was a Dutch novelist and essayist known for his intellectually rich, stylistically precise fiction that explored themes of identity, religion, and society.
-
C.
Hubert Bruls
Hubert Bruls is a Dutch politician best known as the long-serving mayor of Nijmegen and a prominent figure in national public safety and crisis management.
-
D.
Jeroen Lammers
Jeroen Lammers is a Dutch former speed skater who competed internationally in the early 2000s.
-
E.
Frans Ludeke
Frans Ludeke is a South African rugby union coach best known for his successful stints with Super Rugby teams and later coaching roles in Japan.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a490508190924ac40f1dd519d6 |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fab07648190b3b3362a8ffa8961 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.