Triple

T11661969
Position Surface form Disambiguated ID Type / Status
Subject Howard E277141 entity
Predicate hasCognateSurname P51524 FINISHED
Object Howard (surname)
Howard is an English-language surname of Anglo-Norman and sometimes Irish origin, borne by numerous notable figures in politics, entertainment, and other fields.
E937894 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 (surname) | Statement: [Howard, hasCognateSurname, Howard (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard (surname)
Context triple: [Howard, hasCognateSurname, Howard (surname)]
  • A. Hamilton (surname)
    Hamilton is a common Scottish and English surname of Norman origin, borne by numerous notable figures in politics, science, and the arts.
  • B. Lincoln (surname)
    Lincoln is an English surname of Old English origin, most famously associated with U.S. President Abraham Lincoln and the historic city of Lincoln in England.
  • C. Smith (surname)
    Smith is a common English occupational surname originally denoting a metalworker or blacksmith.
  • D. Scott (surname)
    Scott is a common English and Scottish surname historically associated with people from Scotland or of Scottish descent.
  • E. Miller (surname)
    Miller is a common occupational surname of English and Scottish origin, traditionally given to people who operated mills.
  • 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 (surname)
Triple: [Howard, hasCognateSurname, Howard (surname)]
Generated description
Howard is an English-language surname of Anglo-Norman and sometimes Irish origin, borne by numerous notable figures in politics, entertainment, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard (surname)
Target entity description: Howard is an English-language surname of Anglo-Norman and sometimes Irish origin, borne by numerous notable figures in politics, entertainment, and other fields.
  • A. Hamilton (surname)
    Hamilton is a common Scottish and English surname of Norman origin, borne by numerous notable figures in politics, science, and the arts.
  • B. Lincoln (surname)
    Lincoln is an English surname of Old English origin, most famously associated with U.S. President Abraham Lincoln and the historic city of Lincoln in England.
  • C. Smith (surname)
    Smith is a common English occupational surname originally denoting a metalworker or blacksmith.
  • D. Scott (surname)
    Scott is a common English and Scottish surname historically associated with people from Scotland or of Scottish descent.
  • E. Miller (surname)
    Miller is a common occupational surname of English and Scottish origin, traditionally given to people who operated mills.
  • F. None of above. chosen

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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d29fdc8190af46b6e2badb1df5 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882dbf2481909ffcae5f80cd494f completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb315ebc48190a0f6ff0dc8afd462 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd9ecf508190aee072041cd0a97a completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.