Triple
T17862795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Bashir |
E446115
|
entity |
| Predicate | underwentGeneticEnhancementAtAge |
P47235
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Julian Bashir, underwentGeneticEnhancementAtAge, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underwentGeneticEnhancementAtAge Context triple: [Julian Bashir, underwentGeneticEnhancementAtAge, 7]
-
A.
ageAtFirstTransformation
chosen
Indicates the age an entity was when it underwent its first transformation or change of state.
-
B.
hasAgeTransformation
Indicates a relationship where an entity undergoes or causes a change in age or age-related state.
-
C.
designedAtAge
Indicates that something was designed when the designer was a specified age.
-
D.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
E.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49791b0c08190b04a426bd274065d |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.