Triple

T10892713
Position Surface form Disambiguated ID Type / Status
Subject Jennie E257220 entity
Predicate associatedNameRoot P82762 FINISHED
Object Jennifer E47548 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: Jennifer | Statement: [Jennie, associatedNameRoot, Jennifer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer
Context triple: [Jennie, associatedNameRoot, Jennifer]
  • A. Jennifer chosen
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • B. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • C. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • D. Jane
    Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
  • E. Jessica
    Jessica Barth is an American actress best known for her comedic role as Tami-Lynn in the "Ted" film series.
  • 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: associatedNameRoot
Context triple: [Jennie, associatedNameRoot, Jennifer]
  • A. associatedName
    Indicates that one entity has an alternative or related name that is linked or connected to another entity.
  • B. associatedBaseName chosen
    Indicates that one entity is linked to or derived from another entity’s base or canonical name.
  • C. associatedSurname
    Indicates that one entity has a surname that is linked or connected to another entity, such as a person, family, or name record.
  • D. originAssociatedWith
    Indicates a relationship where an entity is connected to, derived from, or influenced by a particular origin, source, or point of beginning.
  • E. associatedBase
    Indicates a relationship where one entity is linked or connected to a corresponding base entity that it depends on or is derived from.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e46283f41c8190ac3e1f196c5e4ca0 completed April 19, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69d70d3943c881908895397eccc3e415 completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:21 p.m.