Triple

T25989613
Position Surface form Disambiguated ID Type / Status
Subject Ellen Walsh E646307 entity
Predicate hasSpellingVariantOfGivenName P457 FINISHED
Object Helen
Helen is a classic female given name of Greek origin, historically associated with beauty and figures such as Helen of Troy.
E791531 NE FINISHED

How this triple was built (3 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: [Ellen Walsh, hasSpellingVariantOfGivenName, Helen]
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: [Ellen Walsh, hasSpellingVariantOfGivenName, Helen]
Generated description
Helen is a classic female given name of Greek origin, historically associated with beauty and figures such as Helen of Troy.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpellingVariantOfGivenName
Context triple: [Ellen Walsh, hasSpellingVariantOfGivenName, Helen]
  • A. nameHasVariant
    Indicates that an entity’s name has an alternative or variant form.
  • B. hasVariantSpelling chosen
    Indicates that one term is an alternative spelling form of another term.
  • C. hasEthnonymVariant
    Indicates that one ethnonym is an alternative or variant form of another ethnonym referring to the same ethnic group.
  • D. hasOfficialNameVariant
    Indicates that an entity has an alternative official form or version of its name.
  • E. EuropeanNameVariant
    Indicates that one name is a variant or alternative form of another name as used in a European language or cultural context.
  • F. None of above.

Provenance (6 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_69e77e881fc08190ba1c8dc7e2a07f97 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a110793e7ec8190970434cda08ebd49 completed May 23, 2026, 1:49 a.m.
NEDg Description generation batch_6a11080f37c08190b1e814533c85f8f2 completed May 23, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_6a1108aa194481908986a597992ffbac completed May 23, 2026, 1:53 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 22, 2026, 8:55 a.m.