Triple
T20011977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermia |
E494610
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Helena |
—
|
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: Helena | Statement: [Hermia, friendOf, Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Context triple: [Hermia, friendOf, Helena]
-
A.
Helena
chosen
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.
-
B.
Helena
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.
-
C.
Helena
"Helena" is a popular emo rock song by My Chemical Romance, known for its dramatic themes of loss and its iconic music video.
-
D.
Helena
Helena is the central character of "The Olive Tree," around whom the story’s emotional and narrative developments revolve.
-
E.
Helena
Helena is a German princess from the House of Waldeck and Pyrmont, a minor princely family historically associated with the region of Waldeck in present-day Germany.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623773d88190826616a02d3c3e69 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.