Triple

T12192269
Position Surface form Disambiguated ID Type / Status
Subject Blanche Georgiana Howard E290492 entity
Predicate familyName P18 FINISHED
Object Howard
Howard is a common English surname historically associated with a prominent noble family in Britain, including the Dukes of Norfolk.
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: [Blanche Georgiana Howard, familyName, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Blanche Georgiana Howard, familyName, Howard]
  • A. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • B. 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.
  • C. 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.
  • 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: [Blanche Georgiana Howard, familyName, Howard]
Generated description
Howard is a common English surname historically associated with a prominent noble family in Britain, including the Dukes of Norfolk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard
Target entity description: Howard is a common English surname historically associated with a prominent noble family in Britain, including the Dukes of Norfolk.
  • 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 name of the influential American film director, producer, and screenwriter Howard Hawks.
  • E. Howard
    Howard is the given first name of Ward Cunningham, the American computer programmer best known for creating the first wiki.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c54a4648190ad0f84c229534155 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee694848190a1362934110b6ceb completed May 2, 2026, 6:13 p.m.
NEDg Description generation batch_69f6415f11d88190a9f77eb1890f76ef completed May 2, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69f64231606481909b8dd9d878670a6c completed May 2, 2026, 6:28 p.m.
Created at: April 8, 2026, 9:50 p.m.