Triple
T25728839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Smith |
E645181
|
entity |
| Predicate | relationshipToSummer |
P193042
|
FINISHED |
| Object | supportive but embarrassing |
—
|
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: supportive but embarrassing | Statement: [Jerry Smith, relationshipToSummer, supportive but embarrassing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSummer Context triple: [Jerry Smith, relationshipToSummer, supportive but embarrassing]
-
A.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
B.
relationshipToYoungerFamily
Indicates a familial relationship where one person is related to another who is younger in age within the family.
-
C.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
D.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
E.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
- 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_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69fd37b45b4481908b947b52fbcb7ade |
completed | May 8, 2026, 1:09 a.m. |
Created at: April 21, 2026, 11:09 p.m.