Triple
T12800585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helene Bresslau |
E306006
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Helene |
E209121
|
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: Helene | Statement: [Helene Bresslau, givenName, Helene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helene Context triple: [Helene Bresslau, givenName, Helene]
-
A.
Helene
Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
-
B.
Helene
chosen
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
-
C.
Helene
Helene is a character in John Galsworthy’s "The Forsyte Saga," known as the French wife of Jolyon Forsyte whose marriage challenges the rigid social norms of the Forsyte family.
-
D.
Helen
Helen is the central character in the novel "The Spare Room," around whom the story’s emotional and narrative developments revolve.
-
E.
Helen
Helen is a fictional character from the 1930 aviation war film "Hell's Angels," which is renowned for its groundbreaking aerial combat sequences and early sound-era spectacle.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7d3f5c8190bf01bef5d263ca26 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850f9ae4819094599b48d8d3a074 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.