Triple
T26752786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Thompson |
E674587
|
entity |
| Predicate | ageAtFirstInsulinInjection |
P72124
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Leonard Thompson, ageAtFirstInsulinInjection, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtFirstInsulinInjection Context triple: [Leonard Thompson, ageAtFirstInsulinInjection, 14]
-
A.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
B.
ageAtIntroduction
chosen
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
C.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
D.
ageAtOutbreak
Indicates the age of an individual at the time a particular outbreak begins.
-
E.
hasMaintenanceDose
Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 3:54 a.m.