Triple
T37625436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Fitzgerald |
E936193
|
entity |
| Predicate | hasAgeStatementRange |
P122542
|
FINISHED |
| Object | 9 years |
—
|
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: 9 years | Statement: [Old Fitzgerald, hasAgeStatementRange, 9 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeStatementRange Context triple: [Old Fitzgerald, hasAgeStatementRange, 9 years]
-
A.
supportsAgeRange
Indicates that one entity is compatible with, valid for, or designed to accommodate a specified range of ages.
-
B.
hasApproximateAgeRange
chosen
Indicates that one entity is associated with another entity representing an estimated or non-exact span of ages.
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
ageStatement
Indicates that a statement expresses or asserts the age of an entity in terms of time lived or existed.
-
E.
ageConstraint
Indicates a restriction or condition based on the age of an entity relative to a specified threshold or range.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.