Triple

T7403184
Position Surface form Disambiguated ID Type / Status
Subject Annette E170799 entity
Predicate spellingVariant P457 FINISHED
Object Annettee
Annettee is an alternative spelling of the given name Annette, a feminine name of French origin derived from Anne.
 E585155 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: Annettee | Statement: [Annette, spellingVariant, Annettee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annettee
Context triple: [Annette, spellingVariant, Annettee]
  • A. Annet
    Annet is a small, uninhabited island in the Isles of Scilly, England, known for its important seabird colonies and protected natural environment.
  • B. Annen
    Annen is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Aa en Hunze.
  • C. Annis
    Annis is a feminine given name of English origin, historically used in the Anglophone world.
  • D. Attie
    Attie is a Kwa language spoken primarily by the Attié people in Côte d'Ivoire.
  • E. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • 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: Annettee
Triple: [Annette, spellingVariant, Annettee]
Generated description
Annettee is an alternative spelling of the given name Annette, a feminine name of French origin derived from Anne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annettee
Target entity description: Annettee is an alternative spelling of the given name Annette, a feminine name of French origin derived from Anne.
  • A. Annet
    Annet is a small, uninhabited island in the Isles of Scilly, England, known for its important seabird colonies and protected natural environment.
  • B. Annen
    Annen is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Aa en Hunze.
  • C. Annis chosen
    Annis is a feminine given name of English origin, historically used in the Anglophone world.
  • D. Attie
    Attie is a Kwa language spoken primarily by the Attié people in Côte d'Ivoire.
  • E. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • F. None of above.

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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26ea27c8190a55e0e0314b463d8 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81110d7648190a8938db7061be454 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c812b0b534819095dd2ae63ca7b2d0 completed March 28, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69c8147b3f3c8190ada85c9e37bf5e2b completed March 28, 2026, 5:48 p.m.
Created at: March 27, 2026, 3:10 p.m.