Triple
T28674074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War Key |
E725811
|
entity |
| Predicate | hasCoCreatorOfFranchise |
P165502
|
FINISHED |
| Object | Joe Hill |
—
|
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: Joe Hill | Statement: [World War Key, hasCoCreatorOfFranchise, Joe Hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoCreatorOfFranchise Context triple: [World War Key, hasCoCreatorOfFranchise, Joe Hill]
-
A.
coCreatedFranchiseWith
chosen
Indicates that two or more entities jointly created or originated the same franchise.
-
B.
createdForFranchise
Indicates that something was created specifically to belong to, support, or be used within a particular franchise.
-
C.
franchiseCreatorOf
Indicates that an entity is the original creator or originator of a particular franchise.
-
D.
isStoriedFranchiseOf
Indicates that one entity is a long-established, narrative-rich franchise (e.g., in media, sports, or entertainment) to which the other entity belongs or is associated.
-
E.
createdByStudioFranchise
Indicates that a work (such as a film, show, or game) was produced as part of a specific studio-controlled franchise.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: April 28, 2026, 5:05 a.m.