Triple
T17351598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Malenka |
E421825
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | Roger Nicoll |
—
|
NE NERFINISHED |
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: Roger Nicoll | Statement: [Robert Malenka, doctoralAdvisor, Roger Nicoll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Nicoll Context triple: [Robert Malenka, doctoralAdvisor, Roger Nicoll]
-
A.
Roger Nicoll
chosen
Roger Nicoll is an influential American neuroscientist renowned for his pioneering work on synaptic transmission and plasticity in the brain.
-
B.
Roger Crozier
Roger Crozier was a Canadian professional ice hockey goaltender best known for his standout NHL career in the 1960s and 1970s, including winning the Conn Smythe Trophy as playoff MVP.
-
C.
Ronald Dacey
Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
-
D.
Robert Nicholl
Robert Nicholl is a personal name shared by multiple individuals, and without additional context it most commonly refers to a historical or public figure bearing that name.
-
E.
Roger Senhouse
Roger Senhouse was a British publisher and translator best known as a co-owner of the influential London publishing house Secker & Warburg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2ca0708190aae8306ec3a6f2a7 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.