Triple
T24730740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCM Mules athletics |
E618278
|
entity |
| Predicate | secondaryNickname |
P90791
|
FINISHED |
| Object | Jennies |
—
|
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: Jennies | Statement: [UCM Mules athletics, secondaryNickname, Jennies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryNickname Context triple: [UCM Mules athletics, secondaryNickname, Jennies]
-
A.
unofficialNickname
chosen
Indicates that one entity is informally or colloquially known by a non-official nickname represented by the other entity.
-
B.
secondaryBrand
Indicates that one brand is a subordinate, supporting, or less prominent brand in relation to a primary brand.
-
C.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
D.
secondaryPosition
Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
-
E.
pairedNickname
Indicates that two entities share or are associated with a complementary or matching set of nicknames.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 4:02 a.m.