Triple

T10698366
Position Surface form Disambiguated ID Type / Status
Subject Northern Massachusetts E252203 entity
Predicate hasTown P847 FINISHED
Object Gardner
Gardner is a small city in north-central Massachusetts known historically for its furniture manufacturing and nickname "The Chair City."
 E39619 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: Gardner | Statement: [Northern Massachusetts, hasTown, Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardner
Context triple: [Northern Massachusetts, hasTown, Gardner]
  • A. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • B. Gardner James
    Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
  • C. Gideon Gartner
    Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
  • D. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • E. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • 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: Gardner
Triple: [Northern Massachusetts, hasTown, Gardner]
Generated description
Gardner is a small city in north-central Massachusetts known historically for its furniture manufacturing and nickname "The Chair City."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardner
Target entity description: Gardner is a small city in north-central Massachusetts known historically for its furniture manufacturing and nickname "The Chair City."
  • A. Gardner chosen
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • B. Gardner James
    Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
  • C. Gideon Gartner
    Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
  • D. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • E. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • F. None of above.

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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8a03848190bf68dd470bee103a completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998e447e0819098e839e9e121a21f completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:12 p.m.