Triple

T901696
Position Surface form Disambiguated ID Type / Status
Subject Clemmie E19459 entity
Predicate relatedName P3889 FINISHED
Object Clementine E3423 NE FINISHED

How this triple was built (2 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: Clementine | Statement: [Clemmie, relatedName, Clementine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clementine
Context triple: [Clemmie, relatedName, Clementine]
  • A. Clementine chosen
    Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
  • B. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • C. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • D. Cítricos
    Cítricos is an upscale, Mediterranean-inspired restaurant located at Disney’s Grand Floridian Resort & Spa in Walt Disney World.
  • E. Plum
    Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4412408190a6bf8fc7484a5781 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5a4118819086035d6e250a53cc completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.