Triple
T9790071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dope |
E237583
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Shameik Moore |
E379763
|
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: Shameik Moore | Statement: [Dope, castMember, Shameik Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shameik Moore Context triple: [Dope, castMember, Shameik Moore]
-
A.
Shameik Moore
chosen
Shameik Moore is an American actor, singer, and rapper best known for voicing Miles Morales in the animated film "Spider-Man: Into the Spider-Verse."
-
B.
Christopher Brody Brown
Christopher Brody Brown is an American songwriter and producer best known for his work with Bruno Mars on hit songs such as "Young, Wild & Free."
-
C.
Tarrus Riley
Tarrus Riley is a Jamaican reggae singer and songwriter known for his smooth vocals and conscious, roots-influenced hits like "She's Royal."
-
D.
Lakeith Stanfield
Lakeith Stanfield is an American actor known for his versatile performances in films like "Sorry to Bother You," "Judas and the Black Messiah," and the TV series "Atlanta."
-
E.
Keean Johnson
Keean Johnson is an American actor best known for his role as Hugo in the science-fiction film "Alita: Battle Angel."
- 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_69d1cc4e30bc81909b1dce4a0cc69991 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:28 p.m.