Triple
T34970596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope End |
E1008525
|
entity |
| Predicate | hasChildhoodHomeOf |
P4907
|
FINISHED |
| Object | Elizabeth Barrett Browning |
—
|
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: Elizabeth Barrett Browning | Statement: [Hope End, hasChildhoodHomeOf, Elizabeth Barrett Browning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildhoodHomeOf Context triple: [Hope End, hasChildhoodHomeOf, Elizabeth Barrett Browning]
-
A.
hasBoyhoodHomeOf
Indicates that a particular place served as the home where a male person lived during his childhood.
-
B.
hasFamilyHomeAt
Indicates that an entity has its family residence or primary household located at a specified place.
-
C.
residenceOfChild
Indicates that a specified location is the place where a particular child lives or resides.
-
D.
hasParentHouse
Indicates that an entity is associated with or belongs to a specific parent house within a hierarchical or familial structure.
-
E.
formerResidenceOf
chosen
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:01 p.m.