Triple

T11804387
Position Surface form Disambiguated ID Type / Status
Subject Meet the Flintstones E280706 entity
Predicate describesSetting P25484 FINISHED
Object prehistoric town of Bedrock E270493 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: prehistoric town of Bedrock | Statement: [Meet the Flintstones, describesSetting, prehistoric town of Bedrock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: prehistoric town of Bedrock
Context triple: [Meet the Flintstones, describesSetting, prehistoric town of Bedrock]
  • A. Bedrock chosen
    Bedrock is the prehistoric, stone-age town that serves as the primary setting of the animated television series "The Flintstones."
  • B. Toonerville
    Toonerville is the fictional small-town setting featured in the early 20th-century Mickey McGuire comedy stories and film shorts.
  • C. Toy Town
    Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
  • D. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • E. Bricksburg
    Bricksburg is the primary LEGO city setting in "The LEGO Movie," depicted as a bustling, highly structured world built entirely from LEGO bricks.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.