Triple

T14013919
Position Surface form Disambiguated ID Type / Status
Subject Pat Borders E337157 entity
Predicate familyName P18 FINISHED
Object Borders
Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
 E1074483 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: Borders | Statement: [Pat Borders, familyName, Borders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borders
Context triple: [Pat Borders, familyName, Borders]
  • A. Borders
    "Borders" is a politically charged 2015 song by British-Sri Lankan artist M.I.A. that critiques global immigration policies and the treatment of refugees.
  • B. Borders
    Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
  • C. Border
    "Border" is a 1997 Indian war drama film directed by J. P. Dutta that depicts the Battle of Longewala during the Indo-Pakistani War of 1971.
  • D. Border Lines
    Border Lines is a thematic section of the Zurich Film Festival that showcases films exploring political, social, and humanitarian conflicts and the borders—literal and metaphorical—that define them.
  • E. كتاب الحدود
    كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
  • 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: Borders
Triple: [Pat Borders, familyName, Borders]
Generated description
Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borders
Target entity description: Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
  • A. Borders
    Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
  • B. Borders
    "Borders" is a politically charged 2015 song by British-Sri Lankan artist M.I.A. that critiques global immigration policies and the treatment of refugees.
  • C. Border
    "Border" is a 1997 Indian war drama film directed by J. P. Dutta that depicts the Battle of Longewala during the Indo-Pakistani War of 1971.
  • D. Border Lines
    Border Lines is a thematic section of the Zurich Film Festival that showcases films exploring political, social, and humanitarian conflicts and the borders—literal and metaphorical—that define them.
  • E. كتاب الحدود
    كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f37d11481909159bdb9e1e8d38e completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacac12608190a5e3d970ec3cda45 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbb4df903481908a760e6d7f47b15b completed May 6, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69fbb5a9abd88190b06abae5c7eff647 completed May 6, 2026, 9:42 p.m.
Created at: April 9, 2026, 10:19 p.m.