Triple
T21881460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Ashley |
E540290
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Yale College |
—
|
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: Yale College | Statement: [Christopher Ashley, educatedAt, Yale College]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yale College Context triple: [Christopher Ashley, educatedAt, Yale College]
-
A.
Yale College
chosen
Yale College is the undergraduate liberal arts college of Yale University, offering a broad curriculum within a residential college system.
-
B.
Yale University
Yale University is an Ivy League research university in New Haven, Connecticut, renowned for its prestigious academic programs, historic campus, and influential alumni.
-
C.
Yale
Yale is a historic town in British Columbia, Canada, that served as a key hub during the Cariboo Gold Rush and the construction of the Canadian Pacific Railway.
-
D.
Yale
Yale is a widely used romanization system for Cantonese Chinese that represents Cantonese sounds with the Latin alphabet.
-
E.
Yale
Yale is a small unincorporated community located in Kansas, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e7a3c48190be1cc285ad4b6496 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:04 p.m.