Triple

T6829739
Position Surface form Disambiguated ID Type / Status
Subject Bennelong E157105 entity
Predicate child P120 FINISHED
Object Dickey
Dickey was a child of Bennelong, the well-known Eora man who served as an intermediary between Indigenous Australians and the early British colonists in Sydney.
 E621012 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: Dickey | Statement: [Bennelong, child, Dickey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dickey
Context triple: [Bennelong, child, Dickey]
  • A. Dickson
    Dickson is a Scottish surname borne by various notable individuals across fields such as music, literature, and public life.
  • B. Dale Dickey
    Dale Dickey is an American character actress known for her gritty, memorable supporting roles in independent films and television dramas such as "Winter's Bone" and "Breaking Bad."
  • C. Coker
    Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • D. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • E. Willie
    Willie is a character from the classic American television sitcom "Happy Days," which nostalgically portrays life in the 1950s and 1960s.
  • 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: Dickey
Triple: [Bennelong, child, Dickey]
Generated description
Dickey was a child of Bennelong, the well-known Eora man who served as an intermediary between Indigenous Australians and the early British colonists in Sydney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dickey
Target entity description: Dickey was a child of Bennelong, the well-known Eora man who served as an intermediary between Indigenous Australians and the early British colonists in Sydney.
  • A. Dickson
    Dickson is a Scottish surname borne by various notable individuals across fields such as music, literature, and public life.
  • B. Dale Dickey
    Dale Dickey is an American character actress known for her gritty, memorable supporting roles in independent films and television dramas such as "Winter's Bone" and "Breaking Bad."
  • C. Coker
    Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • D. Willie
    Willie is a character from the classic American television sitcom "Happy Days," which nostalgically portrays life in the 1950s and 1960s.
  • E. Willie
    Willie is the given name of Willie Blount, an American politician who served as governor of Tennessee in the early 19th century.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d626df448190b4b1d7406d571d07 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f73eec81908c666888a19c0b29 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c725139d748190ba9588c31b5188bd completed March 28, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69c725749efc8190b00fb7f2e44150dd completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:18 p.m.