Triple
T21787836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Molaison |
E537886
|
entity |
| Predicate | ageAtSurgery |
P143898
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Henry Molaison, ageAtSurgery, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtSurgery Context triple: [Henry Molaison, ageAtSurgery, 27]
-
A.
subjectAgeAtEvent
chosen
Indicates the age of a subject at the time a specific event occurs.
-
B.
ageSystem
Indicates a relationship where one entity specifies or uses a particular system or standard for expressing age (e.g., calendar system, counting convention, or age-measurement method) for another entity.
-
C.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
D.
ageAtConversion
Indicates the age an entity was when a specified conversion event (such as a change of status, belief, or state) occurred.
-
E.
ageAtOutbreak
Indicates the age of an individual at the time a particular outbreak begins.
- F. None of above.
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_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. |
Created at: April 16, 2026, 6:52 p.m.