Triple

T14932917
Position Surface form Disambiguated ID Type / Status
Subject Loretta Haggers E372312 entity
Predicate relatedWork P37 FINISHED
Object Forever Fernwood E161515 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: Forever Fernwood | Statement: [Loretta Haggers, relatedWork, Forever Fernwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forever Fernwood
Context triple: [Loretta Haggers, relatedWork, Forever Fernwood]
  • A. Forever Fernwood chosen
    Forever Fernwood is a short-lived American sitcom-style television series that continued the satirical, small-town storyline established in Mary Hartman, Mary Hartman.
  • B. Fern Tree
    Fern Tree is a small bushland suburb on the slopes of Mount Wellington near Hobart, Tasmania, known for its forested setting and walking tracks.
  • C. Frenchwood
    Frenchwood is a residential district of Preston in Lancashire, England, situated close to the River Ribble and known for its mix of housing and local amenities.
  • D. Firswood
    Firswood is a suburban residential area in Trafford, Greater Manchester, England, served by the Manchester Metrolink network.
  • E. Enchanted Forest
    Enchanted Forest is a themed area within the Magic Kingdom’s Fantasyland that immerses guests in attractions and settings inspired by classic Disney fairy tales.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8ac6d08190809045a6d00a3d47 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.