Triple
T22026665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Rettig |
E543983
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tommy Rettig |
—
|
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: Tommy Rettig | Statement: [Tommy Rettig, name, Tommy Rettig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Rettig Context triple: [Tommy Rettig, name, Tommy Rettig]
-
A.
Tommy Rettig
chosen
Tommy Rettig was an American child actor best known for his role as Jeff Miller in the early seasons of the television series "Lassie."
-
B.
Tommy O'Steen
Tommy O'Steen is a musician best known as a former member of the hard rock band Blue Murder.
-
C.
Tony Trischka
Tony Trischka is an American banjo player and composer renowned as a pioneering figure in progressive bluegrass and new acoustic music.
-
D.
Sonny Siebert
Sonny Siebert is a former Major League Baseball pitcher best known for his successful career in the 1960s and 1970s, including two All-Star selections and a no-hitter with the Cleveland Indians.
-
E.
Ron Torbert
Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ccc2ec8190a94d69530d00c06c |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.