Triple

T4467566
Position Surface form Disambiguated ID Type / Status
Subject Slats Gill E98415 entity
Predicate nickname P55 FINISHED
Object Slats
Slats was the nickname of Slats Gill, a prominent American college basketball coach and athletic director at Oregon State University in the mid-20th century.
E441580 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: Slats | Statement: [Slats Gill, nickname, Slats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slats
Context triple: [Slats Gill, nickname, Slats]
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Kleeblatt
    Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
  • D. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • E. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • 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: Slats
Triple: [Slats Gill, nickname, Slats]
Generated description
Slats was the nickname of Slats Gill, a prominent American college basketball coach and athletic director at Oregon State University in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Slats
Target entity description: Slats was the nickname of Slats Gill, a prominent American college basketball coach and athletic director at Oregon State University in the mid-20th century.
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Kleeblatt
    Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
  • D. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • E. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3569a38e88190a8d590931c4a7c96 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628665ba4819095d5ab205dd852d7 completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62954b77c8190968f844514656415 completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62a0cd92c8190a9eee2a9d73fb679 completed March 15, 2026, 3:39 a.m.
Created at: March 12, 2026, 11:34 p.m.