Triple
T4901264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Adams |
E109803
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Scott Raymond Adams |
E109803
|
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: Scott Raymond Adams | Statement: [Scott Adams, name, Scott Raymond Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Raymond Adams Context triple: [Scott Adams, name, Scott Raymond Adams]
-
A.
Scott Adams
chosen
Scott Adams is an American cartoonist best known as the creator of the satirical office-themed comic strip "Dilbert."
-
B.
Michael Klingensmith
Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
-
C.
Douglas Kenney
Douglas Kenney was an American comedy writer, actor, and co-founder of National Lampoon magazine who became influential in 1970s and 1980s film comedy.
-
D.
Mel Horowitz
Mel Horowitz is a character from the film and TV series "Clueless," known as Cher's overprotective but caring father and a successful lawyer.
-
E.
Michael Burger
Michael Burger is a legal scholar and environmental law expert known for his leadership in advancing climate change law and policy.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e4dd6bc819094b1cbf533510995 |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fd2a0348190a285ea1a62e7ae1b |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:28 p.m.