Triple
T25728838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Smith |
E645181
|
entity |
| Predicate | relationshipToMorty |
P192967
|
FINISHED |
| Object | emotionally dependent |
—
|
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: emotionally dependent | Statement: [Jerry Smith, relationshipToMorty, emotionally dependent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMorty Context triple: [Jerry Smith, relationshipToMorty, emotionally dependent]
-
A.
relationshipToHomer
Indicates the specific familial or social relationship that one entity has to Homer.
-
B.
relationshipToBenjy
Indicates the specific type of relationship or connection an entity has to Benjy.
-
C.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
D.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
E.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 21, 2026, 11:09 p.m.