Triple

T3750621
Position Surface form Disambiguated ID Type / Status
Subject Chris Pratt E81319 entity
Predicate familyName P18 FINISHED
Object Pratt
Pratt is a common English surname borne by various notable individuals across fields such as entertainment, politics, and academia.
 E383357 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: Pratt | Statement: [Chris Pratt, familyName, Pratt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pratt
Context triple: [Chris Pratt, familyName, Pratt]
  • A. Princeton
    Princeton is a historic New Jersey town best known as the site of the pivotal 1777 Battle of Princeton during the American Revolutionary War and as home to Princeton University.
  • B. Princeton
    Princeton is a small city in southern West Virginia known as a regional hub for commerce, education, and access to outdoor recreation in the Appalachian region.
  • C. Whitworth
    Whitworth is a small town in Lancashire, England, situated in the Rossendale Valley between Rochdale and Bacup.
  • D. Shattuck
    Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
  • E. Skidmore
    Skidmore is a surname most notably associated with American architect Louis Skidmore, co-founder of the influential firm Skidmore, Owings & Merrill.
  • 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: Pratt
Triple: [Chris Pratt, familyName, Pratt]
Generated description
Pratt is a common English surname borne by various notable individuals across fields such as entertainment, politics, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pratt
Target entity description: Pratt is a common English surname borne by various notable individuals across fields such as entertainment, politics, and academia.
  • A. Princeton
    Princeton is a historic New Jersey town best known as the site of the pivotal 1777 Battle of Princeton during the American Revolutionary War and as home to Princeton University.
  • B. Princeton
    Princeton is a small city in southern West Virginia known as a regional hub for commerce, education, and access to outdoor recreation in the Appalachian region.
  • C. Whitworth
    Whitworth is a small town in Lancashire, England, situated in the Rossendale Valley between Rochdale and Bacup.
  • D. Shattuck
    Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
  • E. Skidmore
    Skidmore is a surname most notably associated with American architect Louis Skidmore, co-founder of the influential firm Skidmore, Owings & Merrill.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db34aa5c8190ba3f22ee0f1f4208 completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbded2c8819084c26ae2ec1c19b3 completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9cdfc48190be9ff5c501c9efcb completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:35 p.m.