Triple
T10355480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thin Red Line |
E243988
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Saar Klein |
E209761
|
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: Saar Klein | Statement: [The Thin Red Line, editedBy, Saar Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saar Klein Context triple: [The Thin Red Line, editedBy, Saar Klein]
-
A.
Saar Klein
chosen
Saar Klein is a film editor known for his work on major Hollywood productions, including action and drama films.
-
B.
Ariel Scheinermann
Ariel Scheinermann, better known as Ariel Sharon, was an Israeli general and politician who served as the 11th Prime Minister of Israel and played a pivotal role in the country’s military and political history.
-
C.
Malina Weissman
Malina Weissman is an American actress and model best known for playing Violet Baudelaire in Netflix’s adaptation of "A Series of Unfortunate Events."
-
D.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
E.
Hila Bronstein
Hila Bronstein is a German pop singer best known as a member of the girl group Bro'Sis, which gained fame through the TV talent show "Popstars."
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e953d4888190b7ca0ac932349dbf |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750a9b4188190a8ecdd9e4d97570b |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:58 a.m.