Triple

T7562882
Position Surface form Disambiguated ID Type / Status
Subject Joe E178835 entity
Predicate hasFeminineCounterpart P1613 FINISHED
Object Joanne E274853 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: Joanne | Statement: [Joe, hasFeminineCounterpart, Joanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanne
Context triple: [Joe, hasFeminineCounterpart, Joanne]
  • A. Joanne chosen
    Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • B. Joanie
    Joanie is a diminutive form of the given name Joan, often used as a familiar or affectionate nickname.
  • C. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • D. Joanna
    Joanna is a woman mentioned in the New Testament as one of Jesus’ followers who witnessed his resurrection.
  • E. Joanna
    Joanna, also known as Joan, Lady of Wales, was the illegitimate daughter of King John of England and the wife of Llywelyn the Great, Prince of Gwynedd.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFeminineCounterpart
Context triple: [Joe, hasFeminineCounterpart, Joanne]
  • A. hasFeminineFormInSomeLanguages
    Indicates that the referenced entity has a distinct feminine grammatical or lexical form in at least one language.
  • B. hasFemaleEquivalent chosen
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • C. hasMasculineForm
    Indicates that an entity has a corresponding masculine grammatical or lexical form.
  • D. hasFeminineFormInCzechAndSlovak
    Indicates that an entity has a specifically feminine grammatical or lexical form in the Czech and Slovak languages.
  • E. hasGenderVariant
    Indicates that one entity is a gender-specific form or variant of another entity.
  • F. None of above.

Provenance (4 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f994a48190b8338654d6777654 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d42e988190a4b4982c0471d96d completed March 28, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69c6f4dc485c819080da13e3b7f4f08f completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:50 p.m.