Triple

T5741243
Position Surface form Disambiguated ID Type / Status
Subject Something Borrowed E126618 entity
Predicate producer P490 FINISHED
Object Molly Mickler Smith
Molly Mickler Smith is a film producer known for her work on the romantic comedy "Something Borrowed."
 E587427 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: Molly Mickler Smith | Statement: [Something Borrowed, producer, Molly Mickler Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molly Mickler Smith
Context triple: [Something Borrowed, producer, Molly Mickler Smith]
  • A. Molly Smith
    Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
  • B. Molly Smith
    Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
  • C. Kelly Miller Smith
    Kelly Miller Smith was an influential African American Baptist minister and civil rights leader in Nashville who played a key role in organizing nonviolent protests during the Civil Rights Movement.
  • D. Molly Smith Metzler
    Molly Smith Metzler is an American playwright, screenwriter, and television producer best known for creating the acclaimed Netflix miniseries "Maid."
  • E. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • 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: Molly Mickler Smith
Triple: [Something Borrowed, producer, Molly Mickler Smith]
Generated description
Molly Mickler Smith is a film producer known for her work on the romantic comedy "Something Borrowed."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molly Mickler Smith
Target entity description: Molly Mickler Smith is a film producer known for her work on the romantic comedy "Something Borrowed."
  • A. Molly Smith
    Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
  • B. Molly Smith
    Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
  • C. Kelly Miller Smith
    Kelly Miller Smith was an influential African American Baptist minister and civil rights leader in Nashville who played a key role in organizing nonviolent protests during the Civil Rights Movement.
  • D. Molly Smith Metzler
    Molly Smith Metzler is an American playwright, screenwriter, and television producer best known for creating the acclaimed Netflix miniseries "Maid."
  • E. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62cddd8188190928e01ba450637c2 completed March 27, 2026, 7:08 a.m.
NEDg Description generation batch_69c62dcb9e1481909fb357f2b010bc19 completed March 27, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69c62e33354481908a6a9af5c245f307 completed March 27, 2026, 7:13 a.m.
Created at: March 22, 2026, 3:48 p.m.