Triple

T647534
Position Surface form Disambiguated ID Type / Status
Subject Langdon Clemens E11273 entity
Predicate givenName P17 FINISHED
Object Langdon
Langdon is a given name that has been used as a masculine first name, notably in American contexts.
 E81047 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: Langdon | Statement: [Langdon Clemens, givenName, Langdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langdon
Context triple: [Langdon Clemens, givenName, Langdon]
  • A. John Langdon
    John Langdon was an American Founding Father, Revolutionary War leader, and early U.S. senator from New Hampshire who also served as one of the framers of the Constitution.
  • B. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • C. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • D. Milton
    Milton is a suburban town in eastern Massachusetts, United States, located just south of Boston.
  • E. Milton
    Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
  • 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: Langdon
Triple: [Langdon Clemens, givenName, Langdon]
Generated description
Langdon is a given name that has been used as a masculine first name, notably in American contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langdon
Target entity description: Langdon is a given name that has been used as a masculine first name, notably in American contexts.
  • A. John Langdon
    John Langdon was an American Founding Father, Revolutionary War leader, and early U.S. senator from New Hampshire who also served as one of the framers of the Constitution.
  • B. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • C. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • D. Milton
    Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
  • E. Milton
    Milton is a suburban town in eastern Massachusetts, United States, located just south of Boston.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580373e3c81909aa9ff50f3b1e781 completed March 2, 2026, 12:19 p.m.
NEDg Description generation batch_69a5833e10bc819091dba5bb5ec9ea85 completed March 2, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69a583a35678819087d440a05c7b636d completed March 2, 2026, 12:33 p.m.
Created at: March 1, 2026, 7:36 p.m.