Triple
T11009729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Help! (film) |
E260215
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Marc Behm |
E399160
|
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: Marc Behm | Statement: [Help! (film), writer, Marc Behm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Behm Context triple: [Help! (film), writer, Marc Behm]
-
A.
Marc Behm
chosen
Marc Behm was an American novelist and screenwriter best known for his work on suspenseful, offbeat stories, including the screenplay for the classic film "Charade."
-
B.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
C.
Richard Lohse
Richard Lohse was a Swiss painter and graphic designer known for his influential role in concrete art and systematic, geometric abstraction in the 20th century.
-
D.
Michael Beckmann
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
-
E.
Daniel von Bargen
Daniel von Bargen was an American character actor known for his authoritative and often villainous roles in film and television, including appearances in projects like "The General’s Daughter," "Seinfeld," and "Malcolm in the Middle."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4419a91b08190a55c7f874a3df0fe |
completed | April 19, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.