Triple

T14641686
Position Surface form Disambiguated ID Type / Status
Subject Monroe E343738 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Monrow
Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
 E1112511 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: Monrow | Statement: [Monroe, hasAlternativeSpelling, Monrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monrow
Context triple: [Monroe, hasAlternativeSpelling, Monrow]
  • A. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • B. Risley
    Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
  • C. Risley
    Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
  • D. Risley
    Risley is an English-language surname of likely British origin borne by various individuals and families.
  • E. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • 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: Monrow
Triple: [Monroe, hasAlternativeSpelling, Monrow]
Generated description
Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monrow
Target entity description: Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
  • A. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • B. Risley
    Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
  • C. Risley
    Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
  • D. Risley
    Risley is an English-language surname of likely British origin borne by various individuals and families.
  • E. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd9dbdf448190ad40ba07f586b4f6 completed May 8, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69fdda3a7ea08190bc65641681da00cc completed May 8, 2026, 12:42 p.m.
Created at: April 10, 2026, 1:26 a.m.