Triple

T5207876
Position Surface form Disambiguated ID Type / Status
Subject George Leigh-Mallory E117556 entity
Predicate familyName P18 FINISHED
Object Mallory
Mallory is an English surname most famously associated with mountaineer George Mallory, a key figure in early Everest expeditions.
 E503688 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: Mallory | Statement: [George Leigh-Mallory, familyName, Mallory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mallory
Context triple: [George Leigh-Mallory, familyName, Mallory]
  • A. Humphreys
    Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • D. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • E. Mahony
    Mahony is the surname of Marion Mahony Griffin, a pioneering American architect and one of the first licensed female architects in the world.
  • 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: Mallory
Triple: [George Leigh-Mallory, familyName, Mallory]
Generated description
Mallory is an English surname most famously associated with mountaineer George Mallory, a key figure in early Everest expeditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mallory
Target entity description: Mallory is an English surname most famously associated with mountaineer George Mallory, a key figure in early Everest expeditions.
  • A. Humphreys
    Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • D. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • E. Mahony
    Mahony is the surname of Marion Mahony Griffin, a pioneering American architect and one of the first licensed female architects in the world.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a6d70d081908c74e86b3bca9ba2 completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefcf89d8819080541b49c8ad6589 completed March 21, 2026, 7:21 p.m.
NEDg Description generation batch_69bef0856a088190a4d6df4888533388 completed March 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69bef121817c8190aebd27ee34c0a419 completed March 21, 2026, 7:27 p.m.
Created at: March 20, 2026, 1:47 p.m.