Triple
T36507679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan Cup |
E899513
|
entity |
| Predicate | modernFranchiseParticipants |
P194632
|
FINISHED |
| Object | Mountaineers |
—
|
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: Mountaineers | Statement: [Logan Cup, modernFranchiseParticipants, Mountaineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernFranchiseParticipants Context triple: [Logan Cup, modernFranchiseParticipants, Mountaineers]
-
A.
modernFranchiseName
Indicates that an entity is known by a modern or currently used franchise name, as opposed to an older or historical name.
-
B.
mediaFranchiseRepresentation
Indicates that one entity serves as a representation, installment, or component work within a broader media franchise associated with another entity.
-
C.
franchiseCharacterReturn
Indicates that a character from a franchise reappears or returns in a subsequent work, installment, or context within that franchise.
-
D.
franchiseCharacter
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
E.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: May 3, 2026, 4:10 p.m.