Triple
T14728400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danja |
E346003
|
entity |
| Predicate | associatedAct |
P37
|
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: [Danja, associatedAct, Sean Garrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Garrett Context triple: [Danja, associatedAct, 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.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
C.
Gene Draper
Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
-
D.
Jesse Macht
Jesse Macht is an American singer-songwriter and musician known for his melodic pop-rock style and work as a solo artist and band member.
-
E.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9683d34c81909ff7486582766620 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:29 a.m.