Triple
T22164003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Collegian |
E547742
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | The Collegian |
—
|
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: The Collegian | Statement: [The Collegian, name, The Collegian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Collegian Context triple: [The Collegian, name, The Collegian]
-
A.
The Collegian
The Collegian is the student-run newspaper serving the Kansas State University community with campus news, features, and opinion content.
-
B.
The Collegian
The Collegian is the student-run newspaper of Baltimore City College, covering school news, events, and student perspectives.
-
C.
The Freshman
The Freshman is a 1925 silent comedy film starring Harold Lloyd as an eager but awkward college newcomer whose attempts to become popular lead to a series of humorous misadventures.
-
D.
The Freshman
The Freshman is a 1990 comedy film starring Matthew Broderick and Marlon Brando, known for its satirical take on mob movies and Brando’s self-parodying role.
-
E.
El Colegio
El Colegio is a municipality in the Tequendama Province of Colombia’s Cundinamarca Department, known for its mild climate and proximity to Bogotá.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a309d8081908f4540fe2da63010 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.