Triple
T22129351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron McGovney |
E546868
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ron McGovney |
—
|
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: Ron McGovney | Statement: [Ron McGovney, name, Ron McGovney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron McGovney Context triple: [Ron McGovney, name, Ron McGovney]
-
A.
Ron McGovney
chosen
Ron McGovney is an American bassist best known as the first bass player for the heavy metal band Metallica in their early formative years.
-
B.
Dennis Austin
Dennis Austin was a software engineer best known as the co-creator and principal developer of Microsoft PowerPoint, originally developed at Forethought Inc.
-
C.
Ted Baxter
Ted Baxter is a vain, bumbling, and egotistical TV news anchor who serves as a major comic figure on the classic sitcom "The Mary Tyler Moore Show."
-
D.
David Puddy
David Puddy is a deadpan, dim-witted auto mechanic and Elaine Benes’s on-again, off-again boyfriend on the sitcom "Seinfeld," known for his monotone delivery and quirky obsessions.
-
E.
Ray Looze
Ray Looze is a highly respected American swimming coach best known for leading Indiana University’s swim program to national prominence and developing numerous elite collegiate and international swimmers.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129851db8819082d50bbb73670bf6 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.