Triple
T31120804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazel Wassername |
E793216
|
entity |
| Predicate | showrunnerCharacterCreator |
P40162
|
FINISHED |
| Object | Tina Fey |
—
|
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: Tina Fey | Statement: [Hazel Wassername, showrunnerCharacterCreator, Tina Fey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showrunnerCharacterCreator Context triple: [Hazel Wassername, showrunnerCharacterCreator, Tina Fey]
-
A.
showrunnerOf
Indicates that a person serves as the primary creative and managerial leader (showrunner) responsible for overseeing the production of a television show or series.
-
B.
creatorOfCharacter
chosen
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
C.
franchiseCharacterCreator
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
D.
showrunnerSeries
Indicates that a person serves as the showrunner (primary creative and production lead) for a particular television series.
-
E.
showrunnerAssociatedWith
Indicates that a person serves or has served as the showrunner (primary creative and managerial lead) for a particular television or media production.
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:04 p.m.