Triple
T23126696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Michael Izzo |
E577049
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lupe Izzo |
—
|
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: Lupe Izzo | Statement: [Thomas Michael Izzo, spouse, Lupe Izzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupe Izzo Context triple: [Thomas Michael Izzo, spouse, Lupe Izzo]
-
A.
Lupe Izzo
chosen
Lupe Izzo is the wife of longtime Michigan State University men's basketball coach Tom Izzo and is known for her involvement in community and charitable activities connected to the program.
-
B.
Nina Moglina
Nina Moglina was the daughter of Zinaida Volkova, making her a granddaughter of the Russian revolutionary Leon Trotsky.
-
C.
Martika
Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
-
D.
Pia Guerra
Pia Guerra is a Canadian comic book artist best known for her acclaimed work on the Vertigo series "Y: The Last Man."
-
E.
Lita Roza
Lita Roza was a British traditional pop and jazz singer best known as one of the leading vocalists with the Ted Heath Band in the 1950s and the first British woman to top the UK Singles Chart.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5482588190b95b36075ecc7f24 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.