Triple
T20591294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fern Arable |
E505934
|
entity |
| Predicate | relationshipToWilbur |
P140687
|
FINISHED |
| Object | caretaker |
—
|
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: caretaker | Statement: [Fern Arable, relationshipToWilbur, caretaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToWilbur Context triple: [Fern Arable, relationshipToWilbur, caretaker]
-
A.
relationshipToDeloris
Indicates the specific type of personal, familial, or social relationship that one entity has with the entity named Deloris.
-
B.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
C.
relationshipToLloyd
Indicates the specific type of personal or social relationship an entity has with Lloyd.
-
D.
relationshipToGeorgeAndMartha
Indicates the specific familial, social, or other relational connection that an entity has to the pair George and Martha considered together.
-
E.
relationshipToHenry
Indicates the specific type of relationship or connection that an entity has to Henry.
- F. None of above. chosen
Provenance (4 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97c10f081909daf635e9be0dd22 |
completed | April 20, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:40 a.m.