Triple

T8475279
Position Surface form Disambiguated ID Type / Status
Subject David Porter E200374 entity
Predicate relative P37 FINISHED
Object David Porter Jr.
David Porter Jr. was the son of U.S. naval officer David Porter, likely associated with the prominent Porter naval family of the early 19th century.
 E735488 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: David Porter Jr. | Statement: [David Porter, relative, David Porter Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Porter Jr.
Context triple: [David Porter, relative, David Porter Jr.]
  • A. Chris Porter
    Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
  • B. John Porter
    John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
  • C. Scott Porter
    Scott Porter is an American actor best known for his roles on television series such as "Friday Night Lights" and "Hart of Dixie."
  • D. Porter Alexander
    Porter Alexander was a prominent Confederate artillery officer and military engineer during the American Civil War, known for his crucial role in major battles such as Gettysburg and Fredericksburg.
  • E. Ben Porterfield
    Ben Porterfield is a technology entrepreneur best known as a co-founder of the business intelligence and data analytics company Looker.
  • 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: David Porter Jr.
Triple: [David Porter, relative, David Porter Jr.]
Generated description
David Porter Jr. was the son of U.S. naval officer David Porter, likely associated with the prominent Porter naval family of the early 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Porter Jr.
Target entity description: David Porter Jr. was the son of U.S. naval officer David Porter, likely associated with the prominent Porter naval family of the early 19th century.
  • A. Chris Porter
    Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
  • B. John Porter
    John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
  • C. Scott Porter
    Scott Porter is an American actor best known for his roles on television series such as "Friday Night Lights" and "Hart of Dixie."
  • D. Porter Alexander
    Porter Alexander was a prominent Confederate artillery officer and military engineer during the American Civil War, known for his crucial role in major battles such as Gettysburg and Fredericksburg.
  • E. Ben Porterfield
    Ben Porterfield is a technology entrepreneur best known as a co-founder of the business intelligence and data analytics company Looker.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f89e0081909e74beb7c8f55653 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a0f5e088190b70b2c7437884b3b completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:11 p.m.