Triple

T1092256
Position Surface form Disambiguated ID Type / Status
Subject Helen of Troy E24191 entity
Predicate givenName P17 FINISHED
Object Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
 E145584 NE FINISHED

How this triple was built (4 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 | Statement: [Helen of Troy, givenName, Helen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen
Context triple: [Helen of Troy, givenName, Helen]
  • A. 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.
  • B. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • C. Penelope
    Penelope is a genus of large, arboreal guans—game birds native to Central and South American forests and belonging to the family Cracidae.
  • D. Penelope
    Penelope is the faithful and resourceful wife of Odysseus in Greek mythology, renowned for her loyalty and cleverness during his long absence in the Odyssey.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Helen
Triple: [Helen of Troy, givenName, Helen]
Generated description
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen
Target entity description: Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
  • A. 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.
  • B. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • C. Penelope
    Penelope is a genus of large, arboreal guans—game birds native to Central and South American forests and belonging to the family Cracidae.
  • D. Penelope
    Penelope is the faithful and resourceful wife of Odysseus in Greek mythology, renowned for her loyalty and cleverness during his long absence in the Odyssey.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ac9971114c81909769b3ad78b95189 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9df823208190ae27a659ac283e2a completed March 7, 2026, 9:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac9e4788d08190b2a6f34bbf9f2671 completed March 7, 2026, 9:53 p.m.
Created at: March 1, 2026, 7:42 p.m.