Triple
T35289757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stayner family |
E1019188
|
entity |
| Predicate | mediaAdaptationOfFamilyStory |
P185259
|
FINISHED |
| Object | I Know My First Name Is Steven |
—
|
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: I Know My First Name Is Steven | Statement: [Stayner family, mediaAdaptationOfFamilyStory, I Know My First Name Is Steven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAdaptationOfFamilyStory Context triple: [Stayner family, mediaAdaptationOfFamilyStory, I Know My First Name Is Steven]
-
A.
storyTime
Indicates that one entity is narrating or sharing a story with another entity, typically in a designated or scheduled period for storytelling.
-
B.
adaptationNarrator
Indicates that one entity serves as the narrator in an adaptation of another work or story.
-
C.
literaryGenreFamily
Indicates that one literary genre belongs to, is a subtype of, or is otherwise grouped within a broader family of related literary genres.
-
D.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.