Triple

T19935921
Position Surface form Disambiguated ID Type / Status
Subject Joy Harjo E479174 entity
Predicate familyName P18 FINISHED
Object Harjo
Harjo is the surname of Joy Harjo, a prominent Muscogee (Creek) Nation poet, musician, and former U.S. Poet Laureate.
E1402632 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: Harjo | Statement: [Joy Harjo, familyName, Harjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harjo
Context triple: [Joy Harjo, familyName, Harjo]
  • A. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • B. Harjola
    Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
  • C. Habay
    Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
  • D. Honnavar
    Honnavar is a coastal town in Karnataka, India, known for its scenic beaches, river estuaries, and proximity to the Western Ghats.
  • E. Halsua
    Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
  • 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: Harjo
Triple: [Joy Harjo, familyName, Harjo]
Generated description
Harjo is the surname of Joy Harjo, a prominent Muscogee (Creek) Nation poet, musician, and former U.S. Poet Laureate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harjo
Target entity description: Harjo is the surname of Joy Harjo, a prominent Muscogee (Creek) Nation poet, musician, and former U.S. Poet Laureate.
  • A. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • B. Harjola
    Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
  • C. Habay
    Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
  • D. Honnavar
    Honnavar is a coastal town in Karnataka, India, known for its scenic beaches, river estuaries, and proximity to the Western Ghats.
  • E. Halsua
    Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6ea0dcc8190b1e987a54115ae3e completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f7d235688190971c9c0063669470 completed May 16, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_6a07f891e5c081909e30e9ce7c271359 completed May 16, 2026, 4:54 a.m.
Created at: April 10, 2026, 1:53 p.m.