Triple
T9790077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dope |
E237583
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Blake Anderson |
E262619
|
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: Blake Anderson | Statement: [Dope, castMember, Blake Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blake Anderson Context triple: [Dope, castMember, Blake Anderson]
-
A.
Blake Anderson
chosen
Blake Anderson is an American actor, comedian, and writer best known as a co-creator and star of the Comedy Central series "Workaholics."
-
B.
Sean Anderson
Sean Anderson is a writer associated with the group or publication known as Clique.
-
C.
Keith Anderson
Keith Anderson is the husband of Thelma Evans, a character from the classic American television sitcom "Good Times."
-
D.
Justin Anderson
Justin Anderson is an American professional basketball player known for his time in the NBA as a versatile wing and strong perimeter defender.
-
E.
Matthew Anden
Matthew Anden was a German-born American actor known for his work in film and theater, including a role in the psychological drama "David and Lisa."
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.