Triple

T17654039
Position Surface form Disambiguated ID Type / Status
Subject Howard-Gabel E429571 entity
Predicate hasComponent P35 FINISHED
Object Howard
Howard is a given name commonly used for males in English-speaking countries.
E277141 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: [Howard-Gabel, hasComponent, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Howard-Gabel, hasComponent, 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: [Howard-Gabel, hasComponent, Howard]
Generated description
Howard is a given name commonly used for males in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard
Target entity description: Howard is a given name commonly used for males in English-speaking countries.
  • A. Howard
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • B. Howard chosen
    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 first name of Canadian comedian, television host, and actor Howie Mandel.
  • 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 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."
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3ed8b08190a00efdad9740bf6f completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021656351081908bc8f4e7eabbf8f8 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021747bc488190bf008b895d7f085b completed May 11, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0217e07bd08190a727c42742a467c3 completed May 11, 2026, 5:54 p.m.
Created at: April 10, 2026, 6:05 a.m.