Triple
T12680809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Kunkel |
E302940
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Jeff Kunkel |
E997178
|
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: Jeff Kunkel | Statement: [Bill Kunkel, notableRelative, Jeff Kunkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Kunkel Context triple: [Bill Kunkel, notableRelative, Jeff Kunkel]
-
A.
Jeff Kunkel
chosen
Jeff Kunkel is a former Major League Baseball shortstop who played primarily for the Texas Rangers during the 1980s and early 1990s.
-
B.
Bob Gunton
Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
-
C.
Richard Holbrook
Richard Holbrook is a notable individual recognized for achievements significant enough to be associated with the surname Holbrook.
-
D.
George Marino
George Marino was a renowned American mastering engineer known for his work on numerous classic rock and metal albums over several decades.
-
E.
Michael Cerveris
Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eafd4f8819083f20d142e9115ae |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:21 p.m.