Triple
T37226052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cindy Bear |
E923006
|
entity |
| Predicate | sameFranchiseAs |
P9673
|
FINISHED |
| Object | Yogi Bear |
—
|
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: Yogi Bear | Statement: [Cindy Bear, sameFranchiseAs, Yogi Bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sameFranchiseAs Context triple: [Cindy Bear, sameFranchiseAs, Yogi Bear]
-
A.
associatedFranchise
chosen
Indicates a relationship where one entity is linked to, or belongs within, a particular franchise or franchise universe.
-
B.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
C.
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.
-
D.
hasParentFranchise
Indicates that one franchise entity is the parent or overarching franchise of another franchise entity.
-
E.
setsFranchiseSimilarTo
Indicates that one franchise is considered similar or comparable to another franchise in relevant characteristics or context.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.