Triple

T22023096
Position Surface form Disambiguated ID Type / Status
Subject Little (2019 film) E543889 entity
Predicate editedBy P1954 FINISHED
Object Sharon Todd
Sharon Todd is a film editor known for her work on the 2019 movie "Little."
E1517998 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: Sharon Todd | Statement: [Little (2019 film), editedBy, Sharon Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon Todd
Context triple: [Little (2019 film), editedBy, Sharon Todd]
  • A. Sharon Darling
    Sharon Darling is an American educator and literacy advocate best known as the founder and longtime leader of the National Center for Families Learning, recognized nationally for her work improving family literacy and education.
  • B. Sharon Keenan
    Sharon Keenan is a notable individual recognized as a prominent bearer of the surname Keenan.
  • C. Sharon Arden
    Sharon Arden is the maiden name of Sharon Osbourne, the British television personality, music manager, and wife of rock singer Ozzy Osbourne.
  • D. Sharon Farrell
    Sharon Farrell is an American actress known for her work in film and television from the 1960s onward, often appearing in teen comedies, dramas, and genre movies.
  • E. Sharon Cassidy
    Sharon Cassidy is a central character in the 1996 ensemble drama film "Beautiful Girls," which explores the romantic and personal struggles of a group of small-town friends.
  • 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: Sharon Todd
Triple: [Little (2019 film), editedBy, Sharon Todd]
Generated description
Sharon Todd is a film editor known for her work on the 2019 movie "Little."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sharon Todd
Target entity description: Sharon Todd is a film editor known for her work on the 2019 movie "Little."
  • A. Sharon Darling
    Sharon Darling is an American educator and literacy advocate best known as the founder and longtime leader of the National Center for Families Learning, recognized nationally for her work improving family literacy and education.
  • B. Sharon Keenan
    Sharon Keenan is a notable individual recognized as a prominent bearer of the surname Keenan.
  • C. Sharon Arden
    Sharon Arden is the maiden name of Sharon Osbourne, the British television personality, music manager, and wife of rock singer Ozzy Osbourne.
  • D. Sharon Farrell
    Sharon Farrell is an American actress known for her work in film and television from the 1960s onward, often appearing in teen comedies, dramas, and genre movies.
  • E. Sharon Cassidy
    Sharon Cassidy is a central character in the 1996 ensemble drama film "Beautiful Girls," which explores the romantic and personal struggles of a group of small-town friends.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a878b5ea08190a7237565b486f277 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a895ef5288190a0390f96efd33d44 completed May 18, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a89c9c35081909c874c659d4a084f completed May 18, 2026, 3:38 a.m.
Created at: April 16, 2026, 8:23 p.m.