Triple
T13718697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolver |
E328968
|
entity |
| Predicate | hasCollaborationsWith |
P38701
|
FINISHED |
| Object | Teddy Verseti |
E1057252
|
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: Teddy Verseti | Statement: [Revolver, hasCollaborationsWith, Teddy Verseti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teddy Verseti Context triple: [Revolver, hasCollaborationsWith, Teddy Verseti]
-
A.
Teddy Verseti
chosen
Teddy Verseti is a hip-hop artist best known for his guest verse on Chrisette Michele’s song “Epiphany (I’m Leaving).”
-
B.
Teddy Sears
Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
-
C.
Teddy Castellucci
Teddy Castellucci is an American film composer known for scoring numerous Hollywood comedies, including the soundtrack for "White Chicks."
-
D.
Ted Szilva
Ted Szilva was a Canadian entrepreneur and community promoter best known for conceiving and helping create Sudbury’s iconic Big Nickel landmark.
-
E.
Teddy Stauffer
Teddy Stauffer was a Swiss-born bandleader and musician, prominent in the swing era and later active in the entertainment and hospitality industries.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a847c4d08190b05ea525059f0465 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.