Triple

T15835910
Position Surface form Disambiguated ID Type / Status
Subject Home Affordable Modification Program E383983 entity
Predicate alsoKnownAs P39 FINISHED
Object HAMP
HAMP is a U.S. government initiative launched after the 2008 financial crisis to help struggling homeowners avoid foreclosure by modifying their mortgage loans to more affordable terms.
 E1180497 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: HAMP | Statement: [Home Affordable Modification Program, alsoKnownAs, HAMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAMP
Context triple: [Home Affordable Modification Program, alsoKnownAs, HAMP]
  • A. HARP
    HARP is a submillimetre heterodyne array receiver used on the James Clerk Maxwell Telescope for high-resolution spectral observations of cold gas in space.
  • B. HAM
    HAM is the IATA airport code for Hamburg Airport, the international airport serving the city of Hamburg, Germany.
  • C. HAM
    HAM is the standard abbreviation used for the Hamilton Bulldogs, a Canadian junior ice hockey team based in Hamilton, Ontario.
  • D. HAM
    HAM is the standard abbreviation used for the Canadian Football League team, the Hamilton Tiger-Cats.
  • E. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • 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: HAMP
Triple: [Home Affordable Modification Program, alsoKnownAs, HAMP]
Generated description
HAMP is a U.S. government initiative launched after the 2008 financial crisis to help struggling homeowners avoid foreclosure by modifying their mortgage loans to more affordable terms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAMP
Target entity description: HAMP is a U.S. government initiative launched after the 2008 financial crisis to help struggling homeowners avoid foreclosure by modifying their mortgage loans to more affordable terms.
  • A. HARP
    HARP is a submillimetre heterodyne array receiver used on the James Clerk Maxwell Telescope for high-resolution spectral observations of cold gas in space.
  • B. HAM
    HAM is the IATA airport code for Hamburg Airport, the international airport serving the city of Hamburg, Germany.
  • C. HAM
    HAM is the standard abbreviation used for the Hamilton Bulldogs, a Canadian junior ice hockey team based in Hamilton, Ontario.
  • D. HAM
    HAM is the standard abbreviation used for the Canadian Football League team, the Hamilton Tiger-Cats.
  • E. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e0e1cc8190851b30b03cf9c9b8 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:49 a.m.