Triple
T15904720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rube Klopek |
E385679
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Uncle Reuben Klopek |
E1183507
|
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: Uncle Reuben Klopek | Statement: [Rube Klopek, hasRelative, Uncle Reuben Klopek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uncle Reuben Klopek Context triple: [Rube Klopek, hasRelative, Uncle Reuben Klopek]
-
A.
Uncle Reuben Klopek
chosen
Uncle Reuben Klopek is a reclusive and unsettling member of the eccentric Klopek family from the dark comedy film "The 'Burbs."
-
B.
Uncle Paul
Uncle Paul is an affectionate English nickname most famously associated with "Oom Paul," the popular moniker of South African Boer leader and former Transvaal president Paul Kruger.
-
C.
Uncle Bob
Uncle Bob is the nickname of Robert C. Martin, a prominent software engineer and author known for his influential work on clean code practices and agile software development.
-
D.
Uncle Bob
"Uncle Bob" is a theatrical work associated with actor, director, and playwright Austin Pendleton.
-
E.
Uncle Bob
Uncle Bob is a fictional character portrayed by American actor Barry Corbin, known for his folksy, authoritative presence.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563f74d88190a3d92ca0ad46e867 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a39a348190a4ef6784c54649c2 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:52 a.m.