Triple
T23389441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Interpreter |
E593971
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael Wright |
—
|
NE NERFINISHED |
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: Michael Wright | Statement: [The Interpreter, starring, Michael Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Wright Context triple: [The Interpreter, starring, Michael Wright]
-
A.
Michael Wright
Michael Wright is a television executive and producer known for overseeing projects such as the historical miniseries "Into the West."
-
B.
Michael Wright
chosen
Michael Wright is an American actor known for his roles in films and television series such as "The Five Heartbeats," "Sugar Hill," and the HBO series "Oz."
-
C.
Mark Wright
Mark Wright is an American country music producer and record executive known for his work with numerous prominent artists and hit albums.
-
D.
Eric Wainwright
Eric Wainwright is the charming leading man in the 1951 romantic comedy film "Too Young to Kiss," where he becomes entangled with a piano prodigy posing as a child.
-
E.
Chris Wright
Chris Wright is a British music industry executive best known as the co-founder of the influential record label Chrysalis Records.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.