Triple
T20134556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Noll |
E490988
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Noll |
—
|
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: Noll | Statement: [Walter Noll, familyName, Noll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noll Context triple: [Walter Noll, familyName, Noll]
-
A.
Noll
chosen
Noll is a surname most prominently associated with Chuck Noll, the legendary head coach who led the Pittsburgh Steelers to four Super Bowl titles.
-
B.
Nol
Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
-
C.
Nulles
Nulles is a small municipality in the Tarragonès comarca of Catalonia, Spain, known for its wine production and modernist cooperative winery.
-
D.
نول
نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
-
E.
Nall
Nall is a small, winged, cat-like companion character from the role-playing game Lunar: The Silver Star, known for guiding and supporting the protagonist throughout the adventure.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676556c481909ffc80cd2009b65a |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.