Triple

T20516198
Position Surface form Disambiguated ID Type / Status
Subject Mallory E503688 entity
Predicate hasVariant P455 FINISHED
Object Mallery
Mallery is a given name and surname that functions as a spelling variant of the more common name Mallory.
 E1435860 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: Mallery | Statement: [Mallory, hasVariant, Mallery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mallery
Context triple: [Mallory, hasVariant, Mallery]
  • A. Mallinson
    Mallinson is a central character in James Hilton's novel "Lost Horizon," serving as a young, skeptical counterpoint to the story's more mystical and idealistic themes.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Marlo
    Marlo is a fictional character associated with Tully, likely appearing in a narrative centered on that figure.
  • D. Marlo
    Marlo is an American rapper associated with the Atlanta-based hip-hop label Quality Control Music.
  • E. Marlo
    Marlo is a small coastal town in East Gippsland, Victoria, Australia, known for its location near the mouth of the Snowy River and its fishing and outdoor recreation.
  • 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: Mallery
Triple: [Mallory, hasVariant, Mallery]
Generated description
Mallery is a given name and surname that functions as a spelling variant of the more common name Mallory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mallery
Target entity description: Mallery is a given name and surname that functions as a spelling variant of the more common name Mallory.
  • A. Mallinson
    Mallinson is a central character in James Hilton's novel "Lost Horizon," serving as a young, skeptical counterpoint to the story's more mystical and idealistic themes.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Marlo
    Marlo is a fictional character associated with Tully, likely appearing in a narrative centered on that figure.
  • D. Marlo
    Marlo is an American rapper associated with the Atlanta-based hip-hop label Quality Control Music.
  • E. Marlo
    Marlo is a small coastal town in East Gippsland, Victoria, Australia, known for its location near the mouth of the Snowy River and its fishing and outdoor recreation.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f41eee481908121e54c7bd691ca completed April 20, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d3b73f88190bd5a68d6a1056df5 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089df251c481908043e3d7ad79198f completed May 16, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a089e8a05488190b3470f4ffb5927ce completed May 16, 2026, 4:42 p.m.
Created at: April 16, 2026, 11:36 a.m.