Triple
T9069008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riff |
E217313
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Mike Faist |
E228407
|
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: Mike Faist | Statement: [Riff, portrayedBy, Mike Faist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Faist Context triple: [Riff, portrayedBy, Mike Faist]
-
A.
Mike Faist
chosen
Mike Faist is an American actor known for originating the role of Connor Murphy in the Broadway musical "Dear Evan Hansen" and for his acclaimed performances in film and television.
-
B.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
-
C.
Brent Rowan
Brent Rowan is an American session guitarist and record producer best known for his extensive work in country music.
-
D.
Anthony Rogers
Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
-
E.
Deryck Guyler
Deryck Guyler was a British character actor and comedian best known for his roles in mid-20th-century radio and television sitcoms.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffde470388190ae88a96654404410 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.