Triple

T16100263
Position Surface form Disambiguated ID Type / Status
Subject Howard Kazanjian E390597 entity
Predicate givenName P17 FINISHED
Object Howard
Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman."
 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 Kazanjian, givenName, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howard
Context triple: [Howard Kazanjian, givenName, 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: [Howard Kazanjian, givenName, Howard]
Generated description
Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howard
Target entity description: Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman."
  • A. 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.
  • B. Howard
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • 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 the English astronomer and mathematician G. H. Darwin, son of naturalist Charles Darwin.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29f9f2881909b96860ee23d8ada completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff35ded288190b4d261358f1661cb completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5 a.m.