Triple
T13080013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Cassidy |
E310175
|
entity |
| Predicate | followsInChronologyOfLife |
P68464
|
FINISHED |
| Object | Jack Kerouac's childhood |
—
|
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: Jack Kerouac's childhood | Statement: [Maggie Cassidy, followsInChronologyOfLife, Jack Kerouac's childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInChronologyOfLife Context triple: [Maggie Cassidy, followsInChronologyOfLife, Jack Kerouac's childhood]
-
A.
chronologyOf
chosen
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
lifeCycle
Indicates the sequence of stages or phases an entity passes through from its beginning, through development and use, to its end or termination.
-
C.
followsLifeOf
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
-
D.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
-
E.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.