Triple

T6704191
Position Surface form Disambiguated ID Type / Status
Subject Leland S. Hobbs E152957 entity
Predicate familyName P18 FINISHED
Object Hobbs
Hobbs is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
 E614753 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: Hobbs | Statement: [Leland S. Hobbs, familyName, Hobbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hobbs
Context triple: [Leland S. Hobbs, familyName, Hobbs]
  • A. Hobbs
    Hobbs is a city in southeastern New Mexico known for its oil and gas industry and proximity to the Texas border.
  • B. Hobbs, New Mexico
    Hobbs, New Mexico is a city in southeastern New Mexico known for its oil and gas industry and role as a regional economic and educational hub near the Texas border.
  • C. Slab City
    Slab City is an off-grid, largely lawless squatter community in the California desert known for its alternative lifestyle, artistic installations, and lack of formal infrastructure.
  • D. Jacktown
    Jacktown is a colloquial nickname commonly used to refer to the city of Jackson, Mississippi.
  • E. Low Town
    Low Town is the riverside lower district of Bridgnorth, Shropshire, historically known for its wharves, bridges, and connection to the town’s cliff railway up to High Town.
  • 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: Hobbs
Triple: [Leland S. Hobbs, familyName, Hobbs]
Generated description
Hobbs is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hobbs
Target entity description: Hobbs is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • A. Hobbs
    Hobbs is a city in southeastern New Mexico known for its oil and gas industry and proximity to the Texas border.
  • B. Hobbs, New Mexico
    Hobbs, New Mexico is a city in southeastern New Mexico known for its oil and gas industry and role as a regional economic and educational hub near the Texas border.
  • C. Slab City
    Slab City is an off-grid, largely lawless squatter community in the California desert known for its alternative lifestyle, artistic installations, and lack of formal infrastructure.
  • D. Jacktown
    Jacktown is a colloquial nickname commonly used to refer to the city of Jackson, Mississippi.
  • E. Low Town
    Low Town is the riverside lower district of Bridgnorth, Shropshire, historically known for its wharves, bridges, and connection to the town’s cliff railway up to High Town.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70085ed8c81909cb407ab183ebbe5 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c705ff86bc81909799d5122f7b8ee3 completed March 27, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c7067c0acc8190bdbb9547e66374e4 completed March 27, 2026, 10:36 p.m.
Created at: March 27, 2026, 2:06 p.m.