Triple
T21787856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Molaison |
E537886
|
entity |
| Predicate | brainDonatedTo |
P145642
|
FINISHED |
| Object | science |
—
|
LITERAL 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: science | Statement: [Henry Molaison, brainDonatedTo, science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brainDonatedTo Context triple: [Henry Molaison, brainDonatedTo, science]
-
A.
brainDonatedForCTEResearch
Indicates that a person’s brain has been donated specifically to be used in research on Chronic Traumatic Encephalopathy (CTE).
-
B.
brainTransplantedFrom
Indicates that an entity’s brain originated in and was transplanted from another entity.
-
C.
brain
Indicates that an entity functions as the brain (central cognitive or control organ) of another entity.
-
D.
hasBrainToBodyRatio
Indicates the proportional relationship between the size or mass of an entity’s brain and the size or mass of its body.
-
E.
namedAfterCauseOfDeath
Indicates that an entity is named after the cause of death of a person or organism.
- F. None of above. chosen
Provenance (4 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621c68588190977891055e80a499 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:52 p.m.