Triple
T1864847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Eleven |
E34895
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Sean Garrett |
E231598
|
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: Sean Garrett | Statement: [Two Eleven, featuresArtist, Sean Garrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Garrett Context triple: [Two Eleven, featuresArtist, Sean Garrett]
-
A.
Sean Garrett
chosen
Sean Garrett is an American songwriter and record producer known for crafting numerous chart-topping R&B and hip-hop hits for major artists in the 2000s and 2010s.
-
B.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
C.
Corey Stoll
Corey Stoll is an American actor known for his prominent roles in film and television, including his acclaimed performance as Congressman Peter Russo in the political drama series "House of Cards."
-
D.
Logan Marshall-Green
Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
-
E.
Jonathan Tucker
Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a208e481908406c008f700a585 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae516ffd088190ae2c730e1caff8f6 |
completed | March 9, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:34 p.m.