Triple
T12214130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helena Zengel |
E291039
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Helena |
E643112
|
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: Helena | Statement: [Helena Zengel, givenName, Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Context triple: [Helena Zengel, givenName, Helena]
-
A.
Helena
Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
-
B.
Helena
Helena is a lovestruck young woman in Shakespeare’s comedy "A Midsummer Night’s Dream," known for her unrequited devotion to Demetrius and her role in the play’s romantic confusion.
-
C.
Helena
Helena is a novel by Brazilian writer Machado de Assis, often noted for its exploration of family secrets, social conventions, and romantic intrigue in 19th-century Rio de Janeiro.
-
D.
Helena
chosen
Helena is a feminine given name of Greek origin meaning "light" or "bright one," famously borne by figures such as Helen of Troy and various saints and queens.
-
E.
Helena
Helena was a British princess, the third daughter of Queen Victoria and Prince Albert, known for her charitable work and support of nursing and women's education.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5882408190b4853f3a11c249c2 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.