Triple
T28327430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenner Products |
E717449
|
entity |
| Predicate | licensedFranchise |
P166214
|
FINISHED |
| Object | Star Wars |
—
|
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: Star Wars | Statement: [Kenner Products, licensedFranchise, Star Wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensedFranchise Context triple: [Kenner Products, licensedFranchise, Star Wars]
-
A.
franchisingAuthority
Indicates that one entity has the legal or contractual authority to grant, manage, or oversee franchise rights to another entity.
-
B.
franchiseStatus
Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
-
C.
restrictedFranchiseBy
Indicates that one party’s rights or privileges (often to operate, vote, or conduct business) are limited, constrained, or conditioned by another party or factor.
-
D.
franchiseIntent
Indicates an entity’s intention or plan to establish, acquire, or operate a franchise relationship with another entity.
-
E.
enfranchises
Indicates granting someone the legal right or privilege to participate fully in a system, typically by giving them the right to vote.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 12:29 a.m.