Triple

T14701100
Position Surface form Disambiguated ID Type / Status
Subject Disney Family Farm site E345297 entity
Predicate nearestCity P350 FINISHED
Object Marceline
Marceline is a small town in north-central Missouri best known as Walt Disney’s boyhood hometown and the inspiration for elements of Main Street, U.S.A.
E1114811 NE FINISHED

How this triple was built (4 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: Marceline | Statement: [Disney Family Farm site, nearestCity, Marceline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marceline
Context triple: [Disney Family Farm site, nearestCity, Marceline]
  • A. Marceline Day
    Marceline Day was an American silent film actress best known for her leading roles in 1920s comedies and dramas, including opposite Buster Keaton.
  • B. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • C. Hamelle
    Hamelle is a French music publishing house known for issuing important late-19th-century works, including major compositions by César Franck.
  • D. Goulet
    Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
  • E. Bossiney
    Bossiney was a former parliamentary borough in Cornwall, England, historically represented in the UK Parliament before its disenfranchisement in the 19th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marceline
Triple: [Disney Family Farm site, nearestCity, Marceline]
Generated description
Marceline is a small town in north-central Missouri best known as Walt Disney’s boyhood hometown and the inspiration for elements of Main Street, U.S.A.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marceline
Target entity description: Marceline is a small town in north-central Missouri best known as Walt Disney’s boyhood hometown and the inspiration for elements of Main Street, U.S.A.
  • A. Marceline Day
    Marceline Day was an American silent film actress best known for her leading roles in 1920s comedies and dramas, including opposite Buster Keaton.
  • B. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • C. Hamelle
    Hamelle is a French music publishing house known for issuing important late-19th-century works, including major compositions by César Franck.
  • D. Goulet
    Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
  • E. Bossiney
    Bossiney was a former parliamentary borough in Cornwall, England, historically represented in the UK Parliament before its disenfranchisement in the 19th century.
  • F. None of above. chosen

Provenance (5 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb605f5948190ab6b20887c4b6833 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0841da48190991d5045954a32ab completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf1fd92948190914fe90c31ef7e15 completed May 8, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fdf28897308190b1deb1ad1ef8a00c completed May 8, 2026, 2:26 p.m.
Created at: April 10, 2026, 1:28 a.m.