Triple

T1470135
Position Surface form Disambiguated ID Type / Status
Subject Henry Laurens E27115 entity
Predicate familyName P18 FINISHED
Object Laurens
Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
E174041 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: Laurens | Statement: [Henry Laurens, familyName, Laurens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurens
Context triple: [Henry Laurens, familyName, Laurens]
  • A. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • C. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • D. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • E. De Witt
    De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
  • 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: Laurens
Triple: [Henry Laurens, familyName, Laurens]
Generated description
Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laurens
Target entity description: Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
  • A. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • C. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • D. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • E. De Witt
    De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d9dd4c8190ba840a9255cd1293 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2940a44c8190967a62781cca0306 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a1742d48190a82c1fc8c81d5c21 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a9e50888190bab83785f11135ea completed March 8, 2026, 7:51 a.m.
Created at: March 1, 2026, 8:01 p.m.