Triple

T15711984
Position Surface form Disambiguated ID Type / Status
Subject It Follows E380860 entity
Predicate producer P490 FINISHED
Object Laura D. Smith
Laura D. Smith is a film producer best known for her work on the acclaimed horror movie "It Follows."
 E1200953 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: Laura D. Smith | Statement: [It Follows, producer, Laura D. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laura D. Smith
Context triple: [It Follows, producer, Laura D. Smith]
  • A. Karen E. Smith
    Karen E. Smith is an American mathematician renowned for her contributions to commutative algebra and algebraic geometry, as well as for her influential expository work and leadership in the mathematical community.
  • B. Cathy L. Smith
    Cathy L. Smith is known as the spouse of American libertarian science fiction author L. Neil Smith.
  • C. Laura L. Williams
    Laura L. Williams was the wife of American engineer and Confederate officer Lemuel P. Grant, associated with his family and social life in 19th-century Georgia.
  • D. Christina M. Smith
    Christina M. Smith is a Canadian municipal politician who serves as the mayor of Westmount, a suburb of Montreal in Quebec.
  • E. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • 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: Laura D. Smith
Triple: [It Follows, producer, Laura D. Smith]
Generated description
Laura D. Smith is a film producer best known for her work on the acclaimed horror movie "It Follows."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laura D. Smith
Target entity description: Laura D. Smith is a film producer best known for her work on the acclaimed horror movie "It Follows."
  • A. Karen E. Smith
    Karen E. Smith is an American mathematician renowned for her contributions to commutative algebra and algebraic geometry, as well as for her influential expository work and leadership in the mathematical community.
  • B. Cathy L. Smith
    Cathy L. Smith is known as the spouse of American libertarian science fiction author L. Neil Smith.
  • C. Laura L. Williams
    Laura L. Williams was the wife of American engineer and Confederate officer Lemuel P. Grant, associated with his family and social life in 19th-century Georgia.
  • D. Christina M. Smith
    Christina M. Smith is a Canadian municipal politician who serves as the mayor of Westmount, a suburb of Montreal in Quebec.
  • E. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000777c6a08190a4deed9952179be5 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000a2a30d881908f6884adcfbb6914 completed May 10, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a000a8ab07c8190a83a4a35e7664555 completed May 10, 2026, 4:33 a.m.
Created at: April 10, 2026, 4:45 a.m.