Triple

T8152687
Position Surface form Disambiguated ID Type / Status
Subject Jean de La Fontaine E190367 entity
Predicate notableWork P4 FINISHED
Object Fables de La Fontaine E378020 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: Fables de La Fontaine | Statement: [Jean de La Fontaine, notableWork, Fables de La Fontaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fables de La Fontaine
Context triple: [Jean de La Fontaine, notableWork, Fables de La Fontaine]
  • A. La Fontaine’s Fables chosen
    La Fontaine’s Fables is a classic 17th-century collection of moral tales in verse by French poet Jean de La Fontaine, featuring animals and humans to satirize society and human nature.
  • B. Fables
    Fables is a collection of satirical verse tales by John Gay that use animal characters and moral lessons to comment on human nature and society.
  • C. Fables
    Fables is a collection of medieval verse tales by Marie de France that adapt and moralize traditional animal stories and folktales.
  • D. Fables
    Fables is a comic book series created by Bill Willingham that reimagines classic fairy-tale and folklore characters living in exile in modern-day New York City.
  • E. Aesop's fables
    Aesop's fables are a classic collection of short moral stories, traditionally attributed to the ancient Greek storyteller Aesop, that use animals and everyday situations to illustrate ethical lessons.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d4494c8190aad2ee302e90670f completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbef9f28881909961b599d395d6df completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.