Triple

T17442935
Position Surface form Disambiguated ID Type / Status
Subject Ehlers E424702 entity
Predicate hasNotableBearer P458 FINISHED
Object Henry Ehlers
Henry Ehlers is an individual notable enough to be recognized as a significant bearer of the surname Ehlers.
E1392061 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: Henry Ehlers | Statement: [Ehlers, hasNotableBearer, Henry Ehlers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Ehlers
Context triple: [Ehlers, hasNotableBearer, Henry Ehlers]
  • A. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • B. Henry Teuscher
    Henry Teuscher was a landscape architect and horticulturist best known for designing and shaping the renowned Montreal Botanical Garden.
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. Paul Speer
    Paul Speer is an American guitarist and composer best known for his work in new-age and instrumental rock music, including collaborations with artists like David Lanz.
  • E. Richard Riehle
    Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
  • 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: Henry Ehlers
Triple: [Ehlers, hasNotableBearer, Henry Ehlers]
Generated description
Henry Ehlers is an individual notable enough to be recognized as a significant bearer of the surname Ehlers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry Ehlers
Target entity description: Henry Ehlers is an individual notable enough to be recognized as a significant bearer of the surname Ehlers.
  • A. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • B. Henry Teuscher
    Henry Teuscher was a landscape architect and horticulturist best known for designing and shaping the renowned Montreal Botanical Garden.
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. Paul Speer
    Paul Speer is an American guitarist and composer best known for his work in new-age and instrumental rock music, including collaborations with artists like David Lanz.
  • E. Richard Riehle
    Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff927ec8190995798f569e913ba completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4d35f088190875264a509504dc7 completed May 16, 2026, 12:05 a.m.
NEDg Description generation batch_6a07b5fa3d348190b8c7adb42097b40a completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b6644d108190b21ac258ffcfba61 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 5:47 a.m.