Triple

T7451818
Position Surface form Disambiguated ID Type / Status
Subject Oklahoma County E172024 entity
Predicate contains P35 FINISHED
Object Spencer
Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
 E665639 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: [Oklahoma County, contains, Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spencer
Context triple: [Oklahoma County, contains, Spencer]
  • A. Spencer
    Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
  • 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 masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
  • D. Spencer
    Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
  • E. Spence
    Spence is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • 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: [Oklahoma County, contains, Spencer]
Generated description
Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spencer
Target entity description: Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
  • 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
    Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
  • E. Spence
    Spence is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b9a6048190bd3e3594b9cff2b7 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828e1487081908de825d60ea38c9e completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c829d8a15c8190911e0d7bda39c280 completed March 28, 2026, 7:19 p.m.
Created at: March 27, 2026, 3:14 p.m.