Triple
T17085294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckett's crew |
E414579
|
entity |
| Predicate | homeFranchiseMedium |
P57779
|
FINISHED |
| Object | film |
—
|
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: film | Statement: [Beckett's crew, homeFranchiseMedium, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeFranchiseMedium Context triple: [Beckett's crew, homeFranchiseMedium, film]
-
A.
franchiseMedium
chosen
Indicates that a franchise is expressed, distributed, or realized through a particular medium (such as film, television, games, or print).
-
B.
franchiseFocus
Indicates that an entity (such as a business or organization) is primarily oriented around, dedicated to, or centered on a particular franchise or franchise-related activity.
-
C.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
D.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
E.
launchesFranchise
Indicates that one entity initiates and establishes a new franchise operation or brand based on another entity.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe6d5288190bdaec41c642d52a2 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.