Triple

T3237243
Position Surface form Disambiguated ID Type / Status
Subject Darren Aronofsky E67883 entity
Predicate givenName P17 FINISHED
Object Darren
Darren is a masculine given name commonly used in English-speaking countries.
E343168 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: Darren | Statement: [Darren Aronofsky, givenName, Darren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darren
Context triple: [Darren Aronofsky, givenName, Darren]
  • A. Darren Albert
    Darren Albert is a former Australian rugby league winger best known for scoring the last-minute try that won the 1997 ARL Grand Final for the Newcastle Knights.
  • B. Darren Chukitus
    Darren Chukitus is a video game industry figure best known as a founder of the game development studio Treyarch.
  • C. Derek
    Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • D. Daryl
    Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
  • E. Dustin
    Dustin is a masculine given name commonly used in English-speaking countries.
  • 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: Darren
Triple: [Darren Aronofsky, givenName, Darren]
Generated description
Darren is a masculine given name commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darren
Target entity description: Darren is a masculine given name commonly used in English-speaking countries.
  • A. Darren Albert
    Darren Albert is a former Australian rugby league winger best known for scoring the last-minute try that won the 1997 ARL Grand Final for the Newcastle Knights.
  • B. Darren Chukitus
    Darren Chukitus is a video game industry figure best known as a founder of the game development studio Treyarch.
  • C. Derek
    Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • D. Daryl
    Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
  • E. Dustin
    Dustin is a masculine given name commonly used in English-speaking countries.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ea696a08190a17cbeeef7632977 completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2966f189c8190bb56daea54be8a93 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6bf36988190b394766e9821047c completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:08 p.m.