Triple

T18028357
Position Surface form Disambiguated ID Type / Status
Subject Let It Go E431320 entity
Predicate producer P490 FINISHED
Object Darran Smith
Darran Smith is a music producer best known for his work on the track "Let It Go."
 E1301990 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: Darran Smith | Statement: [Let It Go, producer, Darran Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Darran Smith
Context triple: [Let It Go, producer, Darran Smith]
  • A. Darren Smyth
    Darren Smyth is a European patent attorney and commentator known for his work in intellectual property law and contributions to patent-related scholarship and discussion.
  • B. Darren Smith
    Darren Smith is a playwright, screenwriter, and composer best known as the co-creator and writer of the rock opera film "Repo! The Genetic Opera."
  • C. Darren Smith
    Darren Smith is a former Australian rugby league footballer who played as a centre and winger, notably representing clubs such as the Canterbury-Bankstown Bulldogs and Brisbane Broncos as well as the Australian national team.
  • D. Gareth Russell
    Gareth Russell is a musician best known as a member of the Scottish indie rock collective Reindeer Section.
  • E. Kieron Moore
    Kieron Moore was an Irish-born British actor known for his film and television roles in the mid-20th century, often portraying intense or brooding characters.
  • 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: Darran Smith
Triple: [Let It Go, producer, Darran Smith]
Generated description
Darran Smith is a music producer best known for his work on the track "Let It Go."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Darran Smith
Target entity description: Darran Smith is a music producer best known for his work on the track "Let It Go."
  • A. Darren Smyth
    Darren Smyth is a European patent attorney and commentator known for his work in intellectual property law and contributions to patent-related scholarship and discussion.
  • B. Darren Smith
    Darren Smith is a former Australian rugby league footballer who played as a centre and winger, notably representing clubs such as the Canterbury-Bankstown Bulldogs and Brisbane Broncos as well as the Australian national team.
  • C. Darren Smith
    Darren Smith is a playwright, screenwriter, and composer best known as the co-creator and writer of the rock opera film "Repo! The Genetic Opera."
  • D. Gareth Russell
    Gareth Russell is a musician best known as a member of the Scottish indie rock collective Reindeer Section.
  • E. Kieron Moore
    Kieron Moore was an Irish-born British actor known for his film and television roles in the mid-20th century, often portraying intense or brooding characters.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be332a7081909124abdd98430a8a completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03432cd3088190892e4c23e9e42b4e completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a034673924c81908ce78f3040b0b6e7 completed May 12, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0346e675e0819098af9e720adda576 completed May 12, 2026, 3:27 p.m.
Created at: April 10, 2026, 10:25 a.m.