Triple
T13080014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Cassidy |
E310175
|
entity |
| Predicate | precedesInChronologyOfLife |
P33474
|
FINISHED |
| Object | Jack Kerouac's early 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: Jack Kerouac's early adulthood | Statement: [Maggie Cassidy, precedesInChronologyOfLife, Jack Kerouac's early adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesInChronologyOfLife Context triple: [Maggie Cassidy, precedesInChronologyOfLife, Jack Kerouac's early adulthood]
-
A.
chronologyPrecedes
chosen
Indicates that one event or state occurs earlier in time than another in a chronological sequence.
-
B.
chronologyPrevious
Indicates that one event, item, or state occurs directly before another in a chronological sequence.
-
C.
precedesEra
Indicates that one time period or era occurs entirely before another in chronological order.
-
D.
livedBefore
Indicates that one entity existed or was alive at an earlier time than another entity.
-
E.
fossilRecordExtendsBackTo
Indicates that the existence or presence of something is documented in the fossil record as originating from a specified time or geological period.
- 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.