Triple
T4144633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pouncer |
E89352
|
entity |
| Predicate | associatedWithStudentSection |
P6598
|
FINISHED |
| Object | University of Memphis fans |
—
|
LITERAL FINISHED |
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: University of Memphis fans | Statement: [Pouncer, associatedWithStudentSection, University of Memphis fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStudentSection Context triple: [Pouncer, associatedWithStudentSection, University of Memphis fans]
-
A.
associatedWithSection
Indicates that one entity is linked or connected to a particular section within a larger structure or context.
-
B.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
C.
studentSection
chosen
Indicates a relationship where a student is enrolled in or associated with a particular course section.
-
D.
hasStudentSection
Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
-
E.
associatedWithAdvisor
Indicates that an entity has a relationship of guidance, oversight, or mentorship with a designated advisor.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.