Triple
T36078652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Pollak as Janni Gogolak |
E1043568
|
entity |
| Predicate | hasFamilyRelationInStory |
P184664
|
FINISHED |
| Object | father of Yanni Gogolak |
—
|
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: father of Yanni Gogolak | Statement: [Kevin Pollak as Janni Gogolak, hasFamilyRelationInStory, father of Yanni Gogolak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyRelationInStory Context triple: [Kevin Pollak as Janni Gogolak, hasFamilyRelationInStory, father of Yanni Gogolak]
-
A.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
-
B.
hasFamilyRelationContext
Indicates that there exists a family-based relationship or kinship context connecting the referenced entities.
-
C.
storylineFamilyMember
chosen
Indicates that one character is related to another as a family member within the context of a storyline or narrative.
-
D.
hasAffiliationInStory
Indicates that one entity is affiliated with, associated with, or connected to another entity within the context of a specific story or narrative.
-
E.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.