Triple
T27600105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whistle While Your Wife Works |
E700015
|
entity |
| Predicate | hasMainFranchise |
P196860
|
FINISHED |
| Object | Family Guy |
—
|
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: Family Guy | Statement: [Whistle While Your Wife Works, hasMainFranchise, Family Guy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainFranchise Context triple: [Whistle While Your Wife Works, hasMainFranchise, Family Guy]
-
A.
hasParentFranchise
Indicates that one franchise entity is the parent or overarching franchise of another franchise entity.
-
B.
isStoriedFranchiseOf
Indicates that one entity is a long-established, narrative-rich franchise (e.g., in media, sports, or entertainment) to which the other entity belongs or is associated.
-
C.
hasMajorFranchise
Indicates that an entity possesses or is associated with a primary, large-scale franchise within a broader domain or organization.
-
D.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
E.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: April 27, 2026, 2:08 p.m.