Triple
T11465002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wedding Night |
E271756
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Sig Ruman |
E432718
|
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: Sig Ruman | Statement: [The Wedding Night, hasCastMember, Sig Ruman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sig Ruman Context triple: [The Wedding Night, hasCastMember, Sig Ruman]
-
A.
Sig Ruman
chosen
Sig Ruman was a German-American character actor known for his comedic and often blustery roles in classic Hollywood films, including several collaborations with the Marx Brothers and directors like Ernst Lubitsch.
-
B.
William Sieghart
William Sieghart is a British entrepreneur, publisher, and philanthropist best known for championing poetry and the arts in the UK, including founding major poetry initiatives and prizes.
-
C.
Sigel
Sigel is a surname most notably associated with American cinematographer Newton Thomas Sigel, known for his work on major Hollywood films.
-
D.
Sigmar
Sigmar is a masculine given name of German origin, notably borne by influential figures such as the artist Sigmar Polke.
-
E.
Roma Guy
Roma Guy is an American social justice activist and feminist known for her work in LGBTQ+ rights, women's health, and homelessness advocacy in San Francisco.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.