Triple
T34709570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Forman (That '90s Show) |
E1000601
|
entity |
| Predicate | isSequelCharacterIn |
P48180
|
FINISHED |
| Object | That '90s Show |
—
|
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: That '90s Show | Statement: [Red Forman (That '90s Show), isSequelCharacterIn, That '90s Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSequelCharacterIn Context triple: [Red Forman (That '90s Show), isSequelCharacterIn, That '90s Show]
-
A.
portrayedByInSequel
Indicates that an entity is portrayed by a particular actor or performer specifically in a sequel work (e.g., a sequel film, series, or game).
-
B.
sequelPerformer
Indicates that a performer participates in a work that is a sequel to a previous work.
-
C.
hasSequelAppearance
chosen
Indicates that an entity appears again in a subsequent installment or sequel of a work.
-
D.
sequelAppearsIn
Indicates that a sequel (such as a follow-up work or installment) is featured, shown, or occurs within a specified context or medium.
-
E.
hasSequelDepiction
Indicates that one depiction of something is followed by another depiction that continues its story or sequence.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.