Triple
T7543945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter DeFazio |
E178348
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | DeFazio |
E178348
|
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: DeFazio | Statement: [Peter DeFazio, familyName, DeFazio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeFazio Context triple: [Peter DeFazio, familyName, DeFazio]
-
A.
Frank DeFazio
Frank DeFazio is a gruff but warm-hearted Italian-American father and diner owner on the sitcom "Laverne & Shirley," best known as Laverne's protective dad.
-
B.
Peter DeFazio
chosen
Peter DeFazio is an American politician who served for over three decades as a Democratic U.S. Representative from Oregon, becoming one of the longest-serving members of the state's congressional delegation.
-
C.
Laverne DeFazio
Laverne DeFazio is a tough, wisecracking Milwaukee brewery worker and one of the two main characters on the classic American sitcom "Laverne & Shirley."
-
D.
Crapo
Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
-
E.
Christian Chabot
Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f896a27481908b2e120208f268e7 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.