Triple

T14312896
Position Surface form Disambiguated ID Type / Status
Subject Howland E354877 entity
Predicate hasNotableBearer P458 FINISHED
Object George Howland Jr.
George Howland Jr. was a 19th-century American whaling ship captain best known for commanding the whaleship Essex after its famous sinking and for his later prominence in the New Bedford whaling industry.
 E1091433 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: George Howland Jr. | Statement: [Howland, hasNotableBearer, George Howland Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George Howland Jr.
Context triple: [Howland, hasNotableBearer, George Howland Jr.]
  • A. Franklin Dow
    Franklin Dow is a cinematographer best known for his work on the acclaimed 2014 documentary film "Virunga."
  • B. George W. Howard
    George W. Howard was a prominent American labor leader and organizer associated with the American Railway Union during the late 19th century.
  • C. George T. Wood
    George T. Wood was a 19th-century American politician who served as the second governor of Texas.
  • D. Joseph A. Howard
    Joseph A. Howard was the husband of American film actress Priscilla Lane.
  • E. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • 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: George Howland Jr.
Triple: [Howland, hasNotableBearer, George Howland Jr.]
Generated description
George Howland Jr. was a 19th-century American whaling ship captain best known for commanding the whaleship Essex after its famous sinking and for his later prominence in the New Bedford whaling industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George Howland Jr.
Target entity description: George Howland Jr. was a 19th-century American whaling ship captain best known for commanding the whaleship Essex after its famous sinking and for his later prominence in the New Bedford whaling industry.
  • A. Franklin Dow
    Franklin Dow is a cinematographer best known for his work on the acclaimed 2014 documentary film "Virunga."
  • B. George W. Howard
    George W. Howard was a prominent American labor leader and organizer associated with the American Railway Union during the late 19th century.
  • C. George T. Wood
    George T. Wood was a 19th-century American politician who served as the second governor of Texas.
  • D. Joseph A. Howard
    Joseph A. Howard was the husband of American film actress Priscilla Lane.
  • E. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b386d0819087d14f3ce84a1997 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d3124488190b2ea35949294e297 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3ded77748190b35908e046ccce67 completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e7425348190abf09c103cc17305 completed May 8, 2026, 1:37 a.m.
Created at: April 10, 2026, 1:12 a.m.