Triple
T1092262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen of Troy |
E24191
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Helen of Sparta |
E145584
|
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: Helen of Sparta | Statement: [Helen of Troy, epithet, Helen of Sparta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen of Sparta Context triple: [Helen of Troy, epithet, Helen of Sparta]
-
A.
Helen of Troy
Helen of Troy is a legendary figure from Greek mythology renowned as the most beautiful woman in the world, whose abduction by Paris sparked the Trojan War.
-
B.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
C.
Helen
Helen is the birth name of Beatrix Potter, the renowned English writer and illustrator best known for her children's books featuring animal characters such as Peter Rabbit.
-
D.
Helen
chosen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
E.
Jane Menelaus
Jane Menelaus is an Australian actress known for her work in film, television, and theatre, and for her long-term partnership with actor Geoffrey Rush.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b982018481908b222df095e318c0 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2dede4c81909ec2eed93a438049 |
completed | March 7, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:42 p.m.