Triple
T14579847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Darlington |
E342160
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Scott Darlington |
E342160
|
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 Darlington | Statement: [Scott Darlington, name, Scott Darlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Darlington Context triple: [Scott Darlington, name, Scott Darlington]
-
A.
Scott Darlington
chosen
Scott Darlington is an individual notable enough to be recognized as a prominent bearer of the surname Darlington.
-
B.
Darrin Dean
Darrin Dean is a hip-hop music producer best known for his work on DMX’s debut album "It’s Dark and Hell Is Hot."
-
C.
Daron Jones
Daron Jones is an American R&B singer, songwriter, and producer best known as a member of the group 112.
-
D.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
E.
Darin Scott
Darin Scott is an American filmmaker and screenwriter known for his work on crime and thriller films, including co-writing the 2006 action drama "Waist Deep."
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f6f78c81908a30ecb4c025299d |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5dc9b908190b1d7583810dc9c41 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 1:24 a.m.