Triple
T5310237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Story |
E119005
|
entity |
| Predicate | lifeInvolves |
P46831
|
FINISHED |
| Object | migration between England and New England |
—
|
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: migration between England and New England | Statement: [Sarah Story, lifeInvolves, migration between England and New England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeInvolves Context triple: [Sarah Story, lifeInvolves, migration between England and New England]
-
A.
lifeHabit
Indicates the typical way an organism lives or behaves in its environment, such as its mode of life, activity pattern, or ecological lifestyle.
-
B.
followsLifeOf
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
-
C.
living
Indicates that an entity is alive or currently exists in a living state.
-
D.
exploresDomesticLife
chosen
Indicates a relationship where the subject examines, portrays, or delves into aspects of everyday home and family life.
-
E.
lifestyle
Indicates that an entity’s way of living or habitual behaviors are associated with, influence, or characterize another entity or outcome.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.