Triple

T7363880
Position Surface form Disambiguated ID Type / Status
Subject Samuel Mudd E169817 entity
Predicate hasRelative P367 FINISHED
Object Henry Lowe Mudd
Henry Lowe Mudd was a member of the Mudd family of Maryland, related to Dr. Samuel Mudd, and part of a prominent 19th-century Southern Catholic lineage.
 E659329 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: Henry Lowe Mudd | Statement: [Samuel Mudd, hasRelative, Henry Lowe Mudd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Lowe Mudd
Context triple: [Samuel Mudd, hasRelative, Henry Lowe Mudd]
  • A. Orlando Murden
    Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
  • B. Percy Wetmore
    Percy Wetmore is a cruel, sadistic prison guard in Stephen King’s novel and its film adaptation "The Green Mile," known for abusing his power over death row inmates.
  • C. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • D. Lester Burdon
    Lester Burdon is a conflicted police officer whose personal and moral struggles drive much of the tension and tragedy in the novel and film "House of Sand and Fog."
  • E. Vic Hoskins
    Vic Hoskins is a ruthless InGen security chief in Jurassic World who seeks to weaponize dinosaurs for military use.
  • 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: Henry Lowe Mudd
Triple: [Samuel Mudd, hasRelative, Henry Lowe Mudd]
Generated description
Henry Lowe Mudd was a member of the Mudd family of Maryland, related to Dr. Samuel Mudd, and part of a prominent 19th-century Southern Catholic lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henry Lowe Mudd
Target entity description: Henry Lowe Mudd was a member of the Mudd family of Maryland, related to Dr. Samuel Mudd, and part of a prominent 19th-century Southern Catholic lineage.
  • A. Orlando Murden
    Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
  • B. Percy Wetmore
    Percy Wetmore is a cruel, sadistic prison guard in Stephen King’s novel and its film adaptation "The Green Mile," known for abusing his power over death row inmates.
  • C. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • D. Lester Burdon
    Lester Burdon is a conflicted police officer whose personal and moral struggles drive much of the tension and tragedy in the novel and film "House of Sand and Fog."
  • E. Vic Hoskins
    Vic Hoskins is a ruthless InGen security chief in Jurassic World who seeks to weaponize dinosaurs for military use.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1603e1481909fb1dce2c9a7c577 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab704008190ad07e12ead1a13ed completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fdc524c081909ba9f584b783eded completed March 28, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7fe4702348190acc48eaec934630a completed March 28, 2026, 4:13 p.m.
Created at: March 27, 2026, 3:06 p.m.