Triple

T15104425
Position Surface form Disambiguated ID Type / Status
Subject Blackall Range E360749 entity
Predicate namedAfter P63 FINISHED
Object Samuel Blackall
Samuel Blackall was a 19th-century British colonial administrator who served as Governor of Queensland, Australia.
 E1139451 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: Samuel Blackall | Statement: [Blackall Range, namedAfter, Samuel Blackall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samuel Blackall
Context triple: [Blackall Range, namedAfter, Samuel Blackall]
  • A. Samuel Blackwell
    Samuel Blackwell was a British sugar refiner and abolitionist known as the patriarch of the prominent Blackwell family of social reformers, including pioneering physician Elizabeth Blackwell.
  • B. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • C. Samuel Ball
    Samuel Ball is an actor known for his role in the horror film "The Pact."
  • D. William Belton
    William Belton was the namesake of the city of Belton in Missouri, United States, likely a locally significant historical figure such as an early settler, landowner, or community leader.
  • E. Samuel Allison
    Samuel Allison was an American physicist known for his work on nuclear physics and his leadership role in the Manhattan Project at the University of Chicago’s Metallurgical Laboratory.
  • 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: Samuel Blackall
Triple: [Blackall Range, namedAfter, Samuel Blackall]
Generated description
Samuel Blackall was a 19th-century British colonial administrator who served as Governor of Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samuel Blackall
Target entity description: Samuel Blackall was a 19th-century British colonial administrator who served as Governor of Queensland, Australia.
  • A. Samuel Blackwell
    Samuel Blackwell was a British sugar refiner and abolitionist known as the patriarch of the prominent Blackwell family of social reformers, including pioneering physician Elizabeth Blackwell.
  • B. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • C. Samuel Ball
    Samuel Ball is an actor known for his role in the horror film "The Pact."
  • D. William Belton
    William Belton was the namesake of the city of Belton in Missouri, United States, likely a locally significant historical figure such as an early settler, landowner, or community leader.
  • E. Samuel Allison
    Samuel Allison was an American physicist known for his work on nuclear physics and his leadership role in the Manhattan Project at the University of Chicago’s Metallurgical Laboratory.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfdffb6081909012cf0707f5c9f5 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec0c97f4c819084ba9eb2d8f69ceb completed May 9, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fec13ccea48190aeb155af012478b8 completed May 9, 2026, 5:08 a.m.
Created at: April 10, 2026, 3:05 a.m.