Triple
T32048157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elena Fisher |
E818406
|
entity |
| Predicate | homeFranchisePlatform |
P173153
|
FINISHED |
| Object | PlayStation |
—
|
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: PlayStation | Statement: [Elena Fisher, homeFranchisePlatform, PlayStation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeFranchisePlatform Context triple: [Elena Fisher, homeFranchisePlatform, PlayStation]
-
A.
launchesFranchise
Indicates that one entity initiates and establishes a new franchise operation or brand based on another entity.
-
B.
franchiseStarterFor
Indicates that one entity is the initial or primary franchise location, product, or person from which a broader franchise operation is launched or developed for another entity.
-
C.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
D.
hostFranchise
Indicates that one entity serves as the host organization or location for a particular franchise associated with another entity.
-
E.
platform1Services
Indicates that one entity provides or is associated with the first platform’s services for or in relation to another entity.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4c34e2c819088c66b77fbd7dfca |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:20 a.m.