Triple

T17788401
Position Surface form Disambiguated ID Type / Status
Subject Porter, Texas E444082 entity
Predicate namedAfter P63 FINISHED
Object James Porter
James Porter was an early settler and local figure after whom the community of Porter, Texas, was named.
 E1288153 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: James Porter | Statement: [Porter, Texas, namedAfter, James Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Porter
Context triple: [Porter, Texas, namedAfter, James Porter]
  • A. Mr. Porter
    Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
  • B. John Potts
    John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
  • C. Eugene Sawyer
    Eugene Sawyer was an American politician who briefly served as mayor of Chicago in the late 1980s following the death of Harold Washington.
  • D. Thomas Porter
    Thomas Porter is a prominent computer graphics researcher and pioneer known for his influential work in digital image compositing and contributions recognized by the Steven A. Coons Award.
  • E. Raymond Chambers
    Raymond Chambers is an American philanthropist and businessman known for his work in global health initiatives and efforts to combat malaria.
  • 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: James Porter
Triple: [Porter, Texas, namedAfter, James Porter]
Generated description
James Porter was an early settler and local figure after whom the community of Porter, Texas, was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Porter
Target entity description: James Porter was an early settler and local figure after whom the community of Porter, Texas, was named.
  • A. Mr. Porter
    Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
  • B. John Potts
    John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
  • C. Eugene Sawyer
    Eugene Sawyer was an American politician who briefly served as mayor of Chicago in the late 1980s following the death of Harold Washington.
  • D. Thomas Porter
    Thomas Porter is a prominent computer graphics researcher and pioneer known for his influential work in digital image compositing and contributions recognized by the Steven A. Coons Award.
  • E. Raymond Chambers
    Raymond Chambers is an American philanthropist and businessman known for his work in global health initiatives and efforts to combat malaria.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48794542c8190b049bce6e28c9f3a completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f835db9481909d314c17a7c59952 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f89a1cf88190bdd2b80c14e6134a completed May 12, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a02f96e4c5c8190a42f2f11574df421 completed May 12, 2026, 9:57 a.m.
Created at: April 10, 2026, 10:12 a.m.