Triple
T14207891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nana (1934 film) |
E352147
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Catherine Hessling |
E557830
|
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: Catherine Hessling | Statement: [Nana (1934 film), hasCastMember, Catherine Hessling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Hessling Context triple: [Nana (1934 film), hasCastMember, Catherine Hessling]
-
A.
Catherine Hessling
chosen
Catherine Hessling was a French actress best known as the muse and frequent leading lady of filmmaker Jean Renoir in his early silent films.
-
B.
Jane Schindelheim
Jane Schindelheim is an American woman best known as the former wife of Rolling Stone co-founder and publisher Jann Wenner.
-
C.
Elisabeth Schultze
Elisabeth Schultze was the daughter of Maria Elisabeth Lämmerhirt, who is primarily known as the mother of composer Johann Sebastian Bach.
-
D.
Cornelia Seibeld
Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
-
E.
Margarethe Cammermeyer
Margarethe Cammermeyer is a retired U.S. Army colonel and nurse who became a prominent LGBTQ+ rights figure after being discharged for being a lesbian and successfully challenging the military’s ban on gay service members.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54fe6b048190a16695af6e269e86 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:05 a.m.