Triple
T26001417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherlyn Markowitz |
E646636
|
entity |
| Predicate | isSpinOffCharacterFrom |
P71150
|
FINISHED |
| Object | All in the Family |
—
|
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: All in the Family | Statement: [Cherlyn Markowitz, isSpinOffCharacterFrom, All in the Family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpinOffCharacterFrom Context triple: [Cherlyn Markowitz, isSpinOffCharacterFrom, All in the Family]
-
A.
spinOffCharacter
chosen
Indicates that one character originates as a derivative or secondary creation from another, typically branching off into its own distinct narrative or work.
-
B.
hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
C.
spinOffSeriesProtagonist
Indicates that a character serves as the main protagonist of a spin-off series derived from an original work.
-
D.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
-
E.
portrayedByInSpinOff
Indicates that an entity is portrayed by a particular actor specifically in a spin-off production related to the original work.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605755bd48190a760f5301eafb3ae |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 9 a.m.