Triple
T3282421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love a Broad Margin to My Life |
E68901
|
entity |
| Predicate | aboutAuthorLifeStage |
P8338
|
FINISHED |
| Object | late adulthood |
—
|
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: late adulthood | Statement: [I Love a Broad Margin to My Life, aboutAuthorLifeStage, late adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aboutAuthorLifeStage Context triple: [I Love a Broad Margin to My Life, aboutAuthorLifeStage, late adulthood]
-
A.
lifeStage
chosen
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
B.
authorLifespanContext
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
-
C.
authorOfDescription
Indicates that an entity is the creator or writer of a particular description or explanatory text about something.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
lifeDetails
Indicates that additional information or specific aspects about an entity’s life (such as background, experiences, or personal history) are being described.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0345d448190a1f936abe7748e33 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.