Triple
T29139811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meg bedroom |
E738592
|
entity |
| Predicate | belongsToSeriesFranchise |
P102724
|
FINISHED |
| Object | Family Guy franchise |
—
|
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 franchise | Statement: [Meg bedroom, belongsToSeriesFranchise, Family Guy franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSeriesFranchise Context triple: [Meg bedroom, belongsToSeriesFranchise, Family Guy franchise]
-
A.
partOfFranchiseLineage
Indicates that one entity belongs to, or is derived from, the same overarching franchise lineage as another entity, reflecting continuity within a shared franchise.
-
B.
seriesWithinFranchise
Indicates that one series is part of, or contained within, a larger media franchise.
-
C.
followsInFranchise
Indicates that one work or installment comes after another within the same franchise’s internal sequence or continuity.
-
D.
includedInFranchise
chosen
Indicates that an entity is part of, or belongs to, a larger franchise or franchise series.
-
E.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 28, 2026, 11:36 a.m.