Triple
T14343969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azul Systems |
E355666
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Scott Sellers |
E1094437
|
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 Sellers | Statement: [Azul Systems, hasKeyPerson, Scott Sellers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Sellers Context triple: [Azul Systems, hasKeyPerson, Scott Sellers]
-
A.
Scott Sellers
chosen
Scott Sellers is a technology entrepreneur best known as a co-founder and executive leader of the Java-focused software company Azul Systems.
-
B.
Phil Sellers
Phil Sellers was a standout forward for Rutgers University in the 1970s who became the program’s all-time leading scorer and led the team to the 1976 Final Four.
-
C.
Brandon Sellers
Brandon Sellers is a writer known for his credited work on the project "Off the Grid."
-
D.
Trevor Sellers
Trevor Sellers is an actor who appeared in the British television drama film "Stuart: A Life Backwards."
-
E.
Joe Saylor
Joe Saylor is an American jazz drummer best known as the energetic percussionist in Jon Batiste’s house band Stay Human on "The Late Show with Stephen Colbert."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4145c081909832e2334a064fb0 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.