Triple

T3239407
Position Surface form Disambiguated ID Type / Status
Subject Murphy E67931 entity
Predicate hasVariant P455 FINISHED
Object Morphy
Morphy is a less common variant of the surname Murphy, often used as an alternative spelling or anglicized form.
 E341009 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: Morphy | Statement: [Murphy, hasVariant, Morphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morphy
Context triple: [Murphy, hasVariant, Morphy]
  • A. Anderssen
    Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
  • B. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • C. Fritz
    Fritz is an individual known primarily as the offspring of Fifi.
  • D. Lasker
    Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
  • E. The Old Fritz
    The Old Fritz is a familiar English nickname for Frederick II of Prussia, better known as Frederick the Great, the 18th-century Prussian king and military leader.
  • 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: Morphy
Triple: [Murphy, hasVariant, Morphy]
Generated description
Morphy is a less common variant of the surname Murphy, often used as an alternative spelling or anglicized form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morphy
Target entity description: Morphy is a less common variant of the surname Murphy, often used as an alternative spelling or anglicized form.
  • A. Anderssen
    Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
  • B. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • C. Fritz
    Fritz is an individual known primarily as the offspring of Fifi.
  • D. Lasker
    Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
  • E. The Old Fritz
    The Old Fritz is a familiar English nickname for Frederick II of Prussia, better known as Frederick the Great, the 18th-century Prussian king and military leader.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774f93448190b8493b457636ae48 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2786b7d388190ad0d97bd41a60543 completed March 12, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69b27c45f6b08190966fbc3fd28664ec completed March 12, 2026, 8:41 a.m.
Created at: March 8, 2026, 3:08 p.m.