Triple

T11973295
Position Surface form Disambiguated ID Type / Status
Subject Thomas Howard, 1st Earl of Suffolk E284973 entity
Predicate familyName P18 FINISHED
Object Howard
Howard is the noble English family name of Thomas Howard, 1st Earl of Suffolk, a prominent figure in the Tudor and early Stuart aristocracy.
E118997 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: Howard | Statement: [Thomas Howard, 1st Earl of Suffolk, familyName, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Thomas Howard, 1st Earl of Suffolk, familyName, Howard]
  • A. Howard
    Howard is the given first name of Ward Cunningham, the American computer programmer best known for creating the first wiki.
  • B. Howard
    Howard is a seasoned, wise old prospector in the classic 1948 film "The Treasure of the Sierra Madre," known for his experience, moral insight, and pivotal role in the gold-hunting expedition.
  • C. Howard
    Howard is the given first name of Duane Allman, the influential American guitarist and co-founder of the Allman Brothers Band.
  • D. Howard
    Howard is the middle name of Robert H. Grubbs, the Nobel Prize–winning American chemist renowned for his work on olefin metathesis.
  • E. Howard
    Howard is a character in Kenneth Lonergan's play "The Waverly Gallery," serving as a key figure in the story's exploration of family, memory, and aging.
  • 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: Howard
Triple: [Thomas Howard, 1st Earl of Suffolk, familyName, Howard]
Generated description
Howard is the noble English family name of Thomas Howard, 1st Earl of Suffolk, a prominent figure in the Tudor and early Stuart aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard
Target entity description: Howard is the noble English family name of Thomas Howard, 1st Earl of Suffolk, a prominent figure in the Tudor and early Stuart aristocracy.
  • A. Howard chosen
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • B. Howard
    Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman," borne by numerous notable figures across politics, arts, and academia.
  • C. Howard
    Howard is the middle name of William Howard Taft, the 27th president of the United States and later Chief Justice of the Supreme Court.
  • D. Howard
    Howard is the given first name of Ward Cunningham, the American computer programmer best known for creating the first wiki.
  • E. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • F. None of above.

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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4597cf818819089b0d897c236b87b completed May 1, 2026, 7:42 a.m.
NEDg Description generation batch_69f45f8b1bc0819099574002cc131000 completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464ad85ac8190ae49f19cedb7d88a completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:46 p.m.