Triple

T1846531
Position Surface form Disambiguated ID Type / Status
Subject Helene Costello E41295 entity
Predicate givenName P17 FINISHED
Object Helene
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
E209121 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: Helene | Statement: [Helene Costello, givenName, Helene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helene
Context triple: [Helene Costello, 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. Helen
    Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
  • 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. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • E. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • 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: Helene
Triple: [Helene Costello, givenName, Helene]
Generated description
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helene
Target entity description: Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • 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. Helen
    Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
  • 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. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • E. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb052e0a8819091bbc0da0e0a20fb completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf48e3048190a79824fd92e0079f completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69ade0158ca8819090e630d87d5f3947 completed March 8, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69ade07bd83c819083120092d672793e completed March 8, 2026, 8:47 p.m.
Created at: March 4, 2026, 7:33 p.m.