Triple
T7071945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Cornell |
E164719
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cornell |
E48327
|
NE 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: Cornell | Statement: [Toni Cornell, familyName, Cornell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornell Context triple: [Toni Cornell, familyName, Cornell]
-
A.
Cornell
chosen
Cornell is a surname most prominently associated with the late American rock musician and Soundgarden frontman Chris Cornell.
-
B.
Cornell University
Cornell University is a prestigious Ivy League research university in Ithaca, New York, known for its diverse academic programs and strengths in fields ranging from engineering and agriculture to business and the humanities.
-
C.
Yale
Yale is a small unincorporated community located in Kansas, United States.
-
D.
Yale
Yale is a widely used romanization system for Cantonese Chinese that represents Cantonese sounds with the Latin alphabet.
-
E.
Columbia University
Columbia University is an Ivy League research university renowned for its rigorous academics and influential role in scholarship, journalism, and public affairs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31a43b481908e535afc393b242a |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 27, 2026, 2:39 p.m.