Triple
T11179225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanislas Dehaene |
E264493
|
entity |
| Predicate | hasAcademicAdvisor |
P167
|
FINISHED |
| Object | Jean-Pierre Changeux |
E906382
|
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: Jean-Pierre Changeux | Statement: [Stanislas Dehaene, hasAcademicAdvisor, Jean-Pierre Changeux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Pierre Changeux Context triple: [Stanislas Dehaene, hasAcademicAdvisor, Jean-Pierre Changeux]
-
A.
Jean-Pierre Changeux
chosen
Jean-Pierre Changeux is a French neuroscientist and molecular biologist renowned for his work on allosteric proteins and the neurobiological basis of consciousness.
-
B.
Paul Greengard
Paul Greengard was an American neuroscientist and Nobel Prize laureate renowned for his pioneering research on how neurons communicate via chemical signals in the brain.
-
C.
Stanislas Dehaene
Stanislas Dehaene is a French cognitive neuroscientist renowned for his research on numerical cognition, consciousness, and the neural basis of reading and learning.
-
D.
Alain Prochiantz
Alain Prochiantz is a French neurobiologist renowned for his pioneering work on neuronal development and brain plasticity.
-
E.
Terrence Sejnowski
Terrence Sejnowski is a pioneering computational neuroscientist and machine learning researcher known for foundational contributions to neural networks and learning algorithms.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496e47f688190b2e8bc71605f9db3 |
completed | April 19, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:29 p.m.