Triple

T3406705
Position Surface form Disambiguated ID Type / Status
Subject Spencer E71790 entity
Predicate hasVariant P455 FINISHED
Object Spence
Spence is a given name and surname, typically a shortened or variant form of Spencer.
 E71790 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: Spence | Statement: [Spencer, hasVariant, Spence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spence
Context triple: [Spencer, hasVariant, Spence]
  • 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. Spencer
    Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
  • 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. 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.
  • 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: Spence
Triple: [Spencer, hasVariant, Spence]
Generated description
Spence is a given name and surname, typically a shortened or variant form of Spencer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spence
Target entity description: Spence is a given name and surname, typically a shortened or variant form of Spencer.
  • A. Spencer chosen
    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. Spencer
    Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
  • 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. 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.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ec68c88190913df5f6cafad9e9 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35468916c8190ba6caa2c53e01d9c completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b35519b7f08190b1ea7514036c3453 completed March 13, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69b358fba2208190bc66d5f7d0009ba4 completed March 13, 2026, 12:23 a.m.
Created at: March 8, 2026, 3:15 p.m.