Triple
T9414898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Pilger |
E226992
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tim Pilger |
E226992
|
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: Tim Pilger | Statement: [Tim Pilger, name, Tim Pilger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Pilger Context triple: [Tim Pilger, name, Tim Pilger]
-
A.
Tim Pilger
chosen
Tim Pilger is an individual notable enough to be specifically cited as a bearer of the surname Pilger.
-
B.
Neil Pilger
Neil Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known public details about him are not readily available.
-
C.
Alan Schilke
Alan Schilke is a prominent roller coaster engineer known for designing innovative and extreme thrill rides for major amusement parks worldwide.
-
D.
Peter Riegert
Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
-
E.
Jim Veltman
Jim Veltman is a former Canadian professional lacrosse player renowned as one of the greatest leaders and transition players in National Lacrosse League history, particularly with the Toronto Rock.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11026b8688190b958ca65dae2d588 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:47 p.m.