Triple
T27089162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDreamy |
E686112
|
entity |
| Predicate | childrenInSeries |
P161841
|
FINISHED |
| Object | Zola Grey Shepherd |
—
|
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: Zola Grey Shepherd | Statement: [McDreamy, childrenInSeries, Zola Grey Shepherd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childrenInSeries Context triple: [McDreamy, childrenInSeries, Zola Grey Shepherd]
-
A.
childInStory
Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
-
B.
childrenWith
Indicates that two or more entities share one or more children together as parents or guardians.
-
C.
relatedSeriesCharacter
Indicates that one character is connected to another by appearing in a related or associated series within the same broader narrative universe.
-
D.
childInFamily
Indicates that one entity is a child member within the family unit defined by the other entity.
-
E.
childCharacter
Indicates that one entity is a child version or child role of another character entity.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623480110819088369af135123c24 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:39 a.m.