Triple

T7703486
Position Surface form Disambiguated ID Type / Status
Subject The Battle of the Books E174555 entity
Predicate featuresCharacter P626 FINISHED
Object Aesop E314182 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: Aesop | Statement: [The Battle of the Books, featuresCharacter, Aesop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aesop
Context triple: [The Battle of the Books, featuresCharacter, Aesop]
  • A. Aesopus
    Aesopus is a figure from Greek mythology, known as a river god associated with one of the many rivers personified in ancient Greek religion.
  • B. Aesop's fables chosen
    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.
  • C. Jean de La Fontaine
    Jean de La Fontaine was a 17th-century French poet and fabulist best known for his enduring collection of moral fables inspired by Aesop.
  • D. Aesacus
    Aesacus is a minor figure in Greek mythology, a son of King Priam of Troy known for his tragic love story and transformation into a seabird.
  • E. Aristophanes
    Aristophanes was an ancient Greek comic playwright best known for his sharp political satire and surviving works such as "Lysistrata" and "The Clouds."
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7028bcb2c8190baa4e4b14abe2cc5 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acbc2024819083576f5a11c1e3a8 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:03 p.m.