Triple
T8066946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roscoe Dash |
E188266
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jeffery |
E61391
|
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: Jeffery | Statement: [Roscoe Dash, givenName, Jeffery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffery Context triple: [Roscoe Dash, givenName, Jeffery]
-
A.
Jeffery
Jeffery is a 2016 mixtape by American rapper Young Thug, known for its experimental sound and striking cover art featuring the artist in an elaborate dress.
-
B.
Jeffrey
chosen
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
C.
Jeffrey Clifford
Jeffrey Clifford is a film producer known for working on major Hollywood comedies and genre films, including "The Spy Who Dumped Me."
-
D.
Jef
"Jef" is a melancholic chanson by Belgian singer-songwriter Jacques Brel that portrays compassion and solidarity toward a downtrodden friend.
-
E.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff75d208190b7c53d2fe55878ac |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.