Triple
T707882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Marks |
E14140
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sean Marks |
E14140
|
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: Sean Marks | Statement: [Sean Marks, name, Sean Marks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Marks Context triple: [Sean Marks, name, Sean Marks]
-
A.
Sean Marks
chosen
Sean Marks is a former NBA player and basketball executive best known for serving as the general manager who led the Brooklyn Nets’ roster rebuild in the late 2010s.
-
B.
David Marks
David Marks was a British architect best known as the co-designer of the London Eye and other major public structures.
-
C.
Josh Harris
Josh Harris is an American billionaire investor and sports team owner best known as a co-founder of Apollo Global Management and the principal owner of multiple professional franchises, including the NFL’s Washington Commanders.
-
D.
Bob Feerick
Bob Feerick was an early professional basketball star and player-coach in the Basketball Association of America (a precursor to the NBA), known for his scoring and leadership in the late 1940s.
-
E.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5477bb48190a2032edc83a24720 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927e57d48190a9e1f34c39501680 |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:36 p.m.