Triple
T3752912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Nordeen |
E81373
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ross Nordeen |
E81373
|
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: Ross Nordeen | Statement: [Ross Nordeen, name, Ross Nordeen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Nordeen Context triple: [Ross Nordeen, name, Ross Nordeen]
-
A.
Ross Nordeen
chosen
Ross Nordeen is a professional associated with xAI, Elon Musk’s artificial intelligence company.
-
B.
Boyd Irwin
Boyd Irwin was an early 20th-century film and stage actor who appeared in numerous silent-era productions.
-
C.
Scott Norwood
Scott Norwood is a former NFL placekicker best known for his crucial missed field goal in Super Bowl XXV while playing for the Buffalo Bills.
-
D.
Gary Cederstrom
Gary Cederstrom is a longtime Major League Baseball umpire who has officiated numerous postseason games and served as crew chief in multiple World Series.
-
E.
Brian Nelson
Brian Nelson is an American screenwriter best known for his work on the horror film "30 Days of Night" and the thriller "Hard Candy."
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb92135c819093f6d616d3ad28ff |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5044f3c8190969828966b37e729 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.