Triple
T20365140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Hills High School |
E496887
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Bill Fralic |
—
|
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: Bill Fralic | Statement: [Penn Hills High School, hasAlumnus, Bill Fralic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Fralic Context triple: [Penn Hills High School, hasAlumnus, Bill Fralic]
-
A.
Bill Fralic
chosen
Bill Fralic was an American professional football offensive lineman, best known for his Pro Bowl career with the Atlanta Falcons in the 1980s.
-
B.
Joe Frady
Joe Frady is a fictional investigative journalist and protagonist of the political thriller film "The Parallax View," who uncovers a sinister conspiracy behind political assassinations.
-
C.
Brad Goreski
Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
-
D.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
E.
Michael Blaha
Michael Blaha is a computer scientist and software engineer known for his pioneering work in object-oriented modeling and database design, including co-developing the Object Modeling Technique (OMT).
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67870f4448190ab63cbe03542de21 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.