Triple
T36064054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Grigio |
E1043169
|
entity |
| Predicate | challengesBoundary |
P128918
|
FINISHED |
| Object | boundary between living and dead |
—
|
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: boundary between living and dead | Statement: [Julie Grigio, challengesBoundary, boundary between living and dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: challengesBoundary Context triple: [Julie Grigio, challengesBoundary, boundary between living and dead]
-
A.
proposesBoundary
Indicates that one entity suggests or puts forward a specific boundary or limit to be considered or adopted in relation to another entity or context.
-
B.
crossedBoundary
Indicates that an entity has moved from one defined area, region, or limit into another, thereby passing across a specified boundary.
-
C.
typicalBoundary
Indicates that one entity serves as the usual or characteristic boundary or limit for another entity.
-
D.
climateBoundaryBetween
Indicates a boundary or dividing line between two regions that differ in climate characteristics or classifications.
-
E.
blursBoundaryBetween
chosen
Indicates a relationship in which one entity causes the distinction or separation between two domains, categories, or states to become less clear or well-defined.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.