Triple
T3942443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Cunningham |
E92064
|
entity |
| Predicate | homeSeriesGenre |
P52143
|
FINISHED |
| Object | American television sitcom |
—
|
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: American television sitcom | Statement: [Marion Cunningham, homeSeriesGenre, American television sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeSeriesGenre Context triple: [Marion Cunningham, homeSeriesGenre, American television sitcom]
-
A.
homeSeries
Indicates that one entity serves as the primary or home series to which another entity (such as an episode, installment, or related work) belongs.
-
B.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
D.
hostsSeries
Indicates that an entity regularly presents, moderates, or leads a particular series (such as a show, event, or program).
-
E.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:24 p.m.