Triple

T16514168
Position Surface form Disambiguated ID Type / Status
Subject Rhyne Howard E401138 entity
Predicate familyName P18 FINISHED
Object Howard
Howard is a common English surname borne by numerous notable figures across politics, sports, entertainment, and academia.
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: [Rhyne Howard, familyName, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Rhyne Howard, familyName, Howard]
  • A. 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.
  • B. Howard
    Howard is the given first name of Howie Meeker, a former professional ice hockey player, coach, and broadcaster best known for his time with the Toronto Maple Leafs and his work on "Hockey Night in Canada."
  • C. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • D. Howard
    Howard is a young boy who serves as a minor but symbolically important character in the play "Inherit the Wind," representing the town’s impressionable youth amid the evolution-versus-creationism trial.
  • E. Howard
    Howard is one of Sethe’s sons in Toni Morrison’s novel "Beloved," a child whose life is shaped by the trauma and legacy of slavery.
  • 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: [Rhyne Howard, familyName, Howard]
Generated description
Howard is a common English surname borne by numerous notable figures across politics, sports, entertainment, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard
Target entity description: Howard is a common English surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • 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 given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • D. 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.
  • E. Howard
    Howard is the middle name of the English astronomer and mathematician G. H. Darwin, son of naturalist Charles Darwin.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7a5ff88190984e2f2bc2fd17cc completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006084949081909e8cdfeafa7564de completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a006322c2f48190aa917f122a33165f completed May 10, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0063fa6f0c8190906856eb07d80973 completed May 10, 2026, 10:54 a.m.
Created at: April 10, 2026, 5:14 a.m.