Triple
T28038136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Betzler |
E708467
|
entity |
| Predicate | secretlyShelters |
P95817
|
FINISHED |
| Object | Elsa Korr |
—
|
NE NERFINISHED |
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: Elsa Korr | Statement: [Rosie Betzler, secretlyShelters, Elsa Korr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretlyShelters Context triple: [Rosie Betzler, secretlyShelters, Elsa Korr]
-
A.
hasShelters
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
B.
shelterType
Indicates the kind or category of shelter associated with an entity (e.g., tent, house, bunker).
-
C.
areaServedAsShelterFor
chosen
Indicates that one entity functioned as a shelter or refuge for another entity, providing protection or a safe place.
-
D.
shelterName
Indicates the name assigned to a particular shelter in the relationship.
-
E.
rescuesFrom
Indicates that one entity saves or frees another entity from a dangerous, harmful, or undesirable situation or source.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63fd79e4c8190af9263b679e5ff07 |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 8:22 p.m.