Triple
T4804072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Verducci |
E106904
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Verducci |
E106904
|
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: Verducci | Statement: [Tom Verducci, familyName, Verducci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verducci Context triple: [Tom Verducci, familyName, Verducci]
-
A.
Tom Verducci
chosen
Tom Verducci is an American sportswriter and baseball analyst best known for his long-time work with Sports Illustrated and MLB coverage on television.
-
B.
Dimon
Dimon is the surname of Jamie Dimon, the prominent American banker and longtime CEO of JPMorgan Chase.
-
C.
Podesta
Podesta is an American political figure best known for his roles as White House Chief of Staff under President Bill Clinton and as a senior advisor to President Barack Obama.
-
D.
George Hellmuth
George Hellmuth was an American architect best known as a co-founder of the global design and architecture firm HOK.
-
E.
George Fisk
George Fisk is a personal name shared by several individuals, most notably figures in American religious, academic, or public life.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c664c3c81908e4d9a7c8c19744b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4403ef888190b41c9a0db6bf47aa |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:23 p.m.