Triple
T23477227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mannequin |
E570295
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Tim Suhrstedt |
—
|
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: Tim Suhrstedt | Statement: [Mannequin, cinematographyBy, Tim Suhrstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Suhrstedt Context triple: [Mannequin, cinematographyBy, Tim Suhrstedt]
-
A.
Tim Suhrstedt
chosen
Tim Suhrstedt is an American cinematographer known for his work on numerous feature films and television projects, often recognized for his naturalistic visual style.
-
B.
Robert Dornhelm
Robert Dornhelm is an Austrian-Romanian film and television director known for his work on historical dramas and international miniseries.
-
C.
Robert Sauer
Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
-
D.
Paul Madvig
Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
-
E.
Emil C. Gotschlich
Emil C. Gotschlich was an American physician and microbiologist renowned for developing the first effective vaccines against meningococcal meningitis.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:01 p.m.