Triple
T18755479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Being John Malkovich |
E458636
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Lotte Schwartz |
—
|
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: Lotte Schwartz | Statement: [Being John Malkovich, featuresCharacter, Lotte Schwartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotte Schwartz Context triple: [Being John Malkovich, featuresCharacter, Lotte Schwartz]
-
A.
Lotte Schwartz
chosen
Lotte Schwartz is a central character in the surreal comedy film "Being John Malkovich," portrayed as the emotionally conflicted wife of puppeteer Craig Schwartz.
-
B.
Lotte Schoen
Lotte Schoen is a character in Peter Shaffer’s play "Lettice and Lovage," serving as a stern, bureaucratic foil to the flamboyant protagonist, Lettice Douffet.
-
C.
Lola Schnabel
Lola Schnabel is an American artist and filmmaker known for her expressive, often dreamlike paintings and her work within a prominent New York art family.
-
D.
Sol Lesser
Sol Lesser was an American film producer best known for his extensive work on the Tarzan movie series during the mid-20th century.
-
E.
Helen Deutsch
Helen Deutsch was an American screenwriter best known for her work on classic mid-20th-century Hollywood films.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.