Triple

T15081706
Position Surface form Disambiguated ID Type / Status
Subject Orrick, Missouri E360161 entity
Predicate namedAfter P63 FINISHED
Object W. W. Orrick
W. W. Orrick was a notable figure in Missouri’s history for whom the town of Orrick was named.
 E1136454 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: W. W. Orrick | Statement: [Orrick, Missouri, namedAfter, W. W. Orrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: W. W. Orrick
Context triple: [Orrick, Missouri, namedAfter, W. W. Orrick]
  • A. Bennett R. Dunn
    Bennett R. Dunn was an individual significant enough in local or regional history that the town of Dunn, North Carolina, was named in his honor.
  • B. Mahlon Pitney
    Mahlon Pitney was an early 20th-century U.S. Supreme Court justice known for his conservative jurisprudence and influential opinions on labor and regulatory issues.
  • C. Albert W. Selden
    Albert W. Selden was a theatrical producer best known for his work on the acclaimed Broadway musical "Man of La Mancha."
  • D. John W. Willey
    John W. Willey was an American politician who became the inaugural mayor of Cleveland, Ohio in the early 19th century.
  • E. Norton Herrick
    Norton Herrick is an American film and theater producer and real estate investor known for backing numerous Broadway shows and Hollywood projects.
  • 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: W. W. Orrick
Triple: [Orrick, Missouri, namedAfter, W. W. Orrick]
Generated description
W. W. Orrick was a notable figure in Missouri’s history for whom the town of Orrick was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: W. W. Orrick
Target entity description: W. W. Orrick was a notable figure in Missouri’s history for whom the town of Orrick was named.
  • A. Bennett R. Dunn
    Bennett R. Dunn was an individual significant enough in local or regional history that the town of Dunn, North Carolina, was named in his honor.
  • B. Mahlon Pitney
    Mahlon Pitney was an early 20th-century U.S. Supreme Court justice known for his conservative jurisprudence and influential opinions on labor and regulatory issues.
  • C. Albert W. Selden
    Albert W. Selden was a theatrical producer best known for his work on the acclaimed Broadway musical "Man of La Mancha."
  • D. John W. Willey
    John W. Willey was an American politician who became the inaugural mayor of Cleveland, Ohio in the early 19th century.
  • E. Norton Herrick
    Norton Herrick is an American film and theater producer and real estate investor known for backing numerous Broadway shows and Hollywood projects.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf8e1b508190b0b5ceb64d44fad6 completed May 9, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69feb038065c8190b60266644db64092 completed May 9, 2026, 3:55 a.m.
Created at: April 10, 2026, 3:03 a.m.