Triple

T15389048
Position Surface form Disambiguated ID Type / Status
Subject Charlotte's Web E367991 entity
Predicate mainCharacter P1183 FINISHED
Object Fern Arable E505934 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: Fern Arable | Statement: [Charlotte's Web, mainCharacter, Fern Arable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fern Arable
Context triple: [Charlotte's Web, mainCharacter, Fern Arable]
  • A. Fern Arable chosen
    Fern Arable is the compassionate young farm girl in E.B. White's "Charlotte's Web" who saves the runt pig Wilbur and remains his devoted friend.
  • B. Fern
    Fern is the middle-aged, van-dwelling woman at the heart of the film "Nomadland," whose journey through the American West explores themes of loss, resilience, and modern nomadic life.
  • C. Hetty Hutter
    Hetty Hutter is a pious, simple-minded young frontier woman in James Fenimore Cooper’s novel "The Deerslayer," known for her innocence and moral steadfastness amid the violence of early American wilderness life.
  • D. Goldberry
    Goldberry is a mysterious, river-associated figure in J.R.R. Tolkien’s Middle-earth legendarium, best known as the radiant and enigmatic wife of Tom Bombadil.
  • E. Bertha Moss
    Bertha Moss was a Mexican actress known for her work in mid-20th-century cinema and television, including roles in notable films by acclaimed directors.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134e37d881909f373b90a99fc067 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.