Triple

T2071764
Position Surface form Disambiguated ID Type / Status
Subject Luisa E44829 entity
Predicate hasFormOf P15846 FINISHED
Object Louise E5411 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: Louise | Statement: [Luisa, hasFormOf, Louise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise
Context triple: [Luisa, hasFormOf, Louise]
  • A. Louise chosen
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • B. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • C. Emilie
    Emilie is a young French girl in Michael Morpurgo’s novel and its film adaptation "War Horse," who befriends and cares for the horses Joey and Topthorn during World War I.
  • D. Madeleine
    Madeleine is a feminine given name, commonly used in French and English, derived from Magdalene and often associated with literary and cultural figures.
  • E. Jeanne
    Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
  • 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: hasFormOf
Context triple: [Luisa, hasFormOf, Louise]
  • A. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • B. isGivenNameFormOf chosen
    Indicates that one name is a given-name variant or form derived from another name.
  • C. hasTraditionalFormIn
    Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
  • D. hasForm
    Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
  • E. hasFullForm
    Indicates that one entity is the complete, expanded, or unabbreviated form 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba0d20bc8190b19a32157f8b1607 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3ae5cb48190bd6d1ed21f56fe2a completed March 9, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69abb7b0edac8190a58eabee55f73deb completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:41 p.m.