Triple

T2242210
Position Surface form Disambiguated ID Type / Status
Subject Central Massachusetts E49421 entity
Predicate containsTown P847 FINISHED
Object Spencer
Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
E247814 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: Spencer | Statement: [Central Massachusetts, containsTown, Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer
Context triple: [Central Massachusetts, containsTown, Spencer]
  • A. Spencer
    Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
  • B. Spencer
    Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
  • C. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • D. Spencer Brook
    Spencer Brook is a smaller tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
  • E. Spencer Rivers
    Spencer Rivers is the son of American sportscaster and former NBA player Doc Rivers.
  • 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: Spencer
Triple: [Central Massachusetts, containsTown, Spencer]
Generated description
Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spencer
Target entity description: Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
  • A. Spencer
    Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
  • B. Spencer
    Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
  • C. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • D. Spencer Brook
    Spencer Brook is a smaller tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
  • E. Spencer Rivers
    Spencer Rivers is the son of American sportscaster and former NBA player Doc Rivers.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0c017548190a71fb4a0e2a8189f completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0eef98819083bede32490cba7e completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbccdb08190a73fd20a110219d9 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c3d07a08190a6221a33fd02f73e completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.