Triple
T22301510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mater Dei High School |
E551267
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Matt Leinart |
—
|
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: Matt Leinart | Statement: [Mater Dei High School, hasAlumni, Matt Leinart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Leinart Context triple: [Mater Dei High School, hasAlumni, Matt Leinart]
-
A.
Matt Leinart
chosen
Matt Leinart is a former American football quarterback best known for winning the Heisman Trophy at USC and leading the Trojans to national championships before playing in the NFL.
-
B.
Carson Palmer
Carson Palmer is a former NFL quarterback best known for his Pro Bowl career with the Cincinnati Bengals and later the Arizona Cardinals.
-
C.
Mark Brunell
Mark Brunell is a former NFL quarterback best known for leading the Jacksonville Jaguars to early franchise success in the late 1990s and earning multiple Pro Bowl selections.
-
D.
Tim Hasselbeck
Tim Hasselbeck is a former NFL quarterback who later became a football analyst and commentator for ESPN.
-
E.
Sarah Hasselbeck
Sarah Hasselbeck is known as the wife of former NFL quarterback and sports analyst Matt Hasselbeck.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157245ee481909a7a3397de3ae355 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.