Triple
T14177581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin family |
E351371
|
entity |
| Predicate | mediaFranchiseType |
P113116
|
FINISHED |
| Object | celebrity family |
—
|
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: celebrity family | Statement: [Baldwin family, mediaFranchiseType, celebrity family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaFranchiseType Context triple: [Baldwin family, mediaFranchiseType, celebrity family]
-
A.
hasMediaFranchise
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
-
B.
fandomType
Indicates the specific category or kind of fandom relationship that exists between an entity and the subject of that fandom.
-
C.
franchiseMedium
Indicates that a franchise is expressed, distributed, or realized through a particular medium (such as film, television, games, or print).
-
D.
franchiseGenre
Indicates that a franchise belongs to or is categorized under a particular genre.
-
E.
mediaName
Indicates the name or title assigned to a media item (such as a work, file, or publication) in the relationship.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:02 a.m.