Triple
T10906716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Week with Marilyn |
E257590
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Adam Recht |
E257590
|
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: Adam Recht | Statement: [My Week with Marilyn, editor, Adam Recht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Recht Context triple: [My Week with Marilyn, editor, Adam Recht]
-
A.
Adam Recht
chosen
Adam Recht is a film editor known for his work on the biographical drama "My Week with Marilyn."
-
B.
Adam Meiks
Adam Meiks is a central character in the psychological horror film "Frailty," whose troubled past and family’s fanatical religious visions drive the movie’s mystery and moral ambiguity.
-
C.
Adam Reta
Adam Reta is a prominent Ethiopian writer recognized for his significant contributions to modern Ethiopian literature.
-
D.
Adam Ruzek
Adam Ruzek is a fictional undercover specialist and member of the Intelligence Unit on the television drama series "Chicago P.D."
-
E.
Adam Senn
Adam Senn is an American model and actor best known for his role as professional basketball player Zero on the VH1 drama series "Hit the Floor."
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706679b48190a1f29fc64fe8a334 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155454890819087028a72ac2be8de |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.