Triple
T16913337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hopkins High School |
E410255
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Amir Coffey |
E958997
|
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: Amir Coffey | Statement: [Hopkins High School, hasNotableAlumnus, Amir Coffey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amir Coffey Context triple: [Hopkins High School, hasNotableAlumnus, Amir Coffey]
-
A.
Amir Coffey
chosen
Amir Coffey is an American professional basketball player known for his high-energy, effort-based play and defensive impact in the NBA.
-
B.
Othyus Jeffers
Othyus Jeffers is an American professional basketball player best known for his standout performances in the NBA Development League and brief stints in the NBA.
-
C.
Chris Frazier
Chris Frazier is an American rock drummer best known for his work with the band Foreigner and for performing with various other prominent rock acts.
-
D.
C.J. Allen
C.J. Allen is an actor known for appearing in the film "Greased Lightning."
-
E.
Nick Weatherspoon
Nick Weatherspoon was an American professional basketball forward who played in the NBA during the 1970s, known for his scoring ability and rebounding.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.