Triple

T878263
Position Surface form Disambiguated ID Type / Status
Subject Fannie Flagg E18969 entity
Predicate wrote P2831 FINISHED
Object A Full House E103255 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: A Full House | Statement: [Fannie Flagg, wrote, A Full House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Full House
Context triple: [Fannie Flagg, wrote, A Full House]
  • A. A Full House chosen
    "A Full House" is a novel by American author Fannie Flagg, known for its humorous, warm-hearted storytelling and richly drawn Southern characters.
  • B. Encore
    Encore is a luxury casino and resort brand operated by Wynn Resorts, known for its upscale accommodations, gaming, dining, and entertainment offerings.
  • C. Home Run Hotel
    Home Run Hotel is a baseball-themed accommodation area within Disney's All-Star Sports Resort at Walt Disney World.
  • D. Reunion
    Reunion is an island in the Indian Ocean that hosts a notable community of Haredi Jews among its diverse population.
  • E. Two Can Play That Game
    Two Can Play That Game is a 2001 romantic comedy film about modern dating mind games, starring Vivica A. Fox and Morris Chestnut.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01d1a7081909da3d8b2aadaed6f completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.