Triple

T3996186
Position Surface form Disambiguated ID Type / Status
Subject Ocean's 8 E87102 entity
Predicate producer P490 FINISHED
Object Susan Ekins
Susan Ekins is a film producer best known for her work on major Hollywood projects, including the heist comedy "Ocean's 8."
E404312 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: Susan Ekins | Statement: [Ocean's 8, producer, Susan Ekins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Ekins
Context triple: [Ocean's 8, producer, Susan Ekins]
  • A. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • B. Philippa Roet
    Philippa Roet was an English courtier of Flemish origin who served in the royal household and is best known as the wife of the poet Geoffrey Chaucer and sister of Katherine Swynford.
  • C. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • D. Susan Wakley
    Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
  • E. Laura Mennell
    Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
  • 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: Susan Ekins
Triple: [Ocean's 8, producer, Susan Ekins]
Generated description
Susan Ekins is a film producer best known for her work on major Hollywood projects, including the heist comedy "Ocean's 8."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Ekins
Target entity description: Susan Ekins is a film producer best known for her work on major Hollywood projects, including the heist comedy "Ocean's 8."
  • A. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • B. Philippa Roet
    Philippa Roet was an English courtier of Flemish origin who served in the royal household and is best known as the wife of the poet Geoffrey Chaucer and sister of Katherine Swynford.
  • C. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • D. Susan Wakley
    Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
  • E. Laura Mennell
    Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa2159d88190a01de8b038341916 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403f14ec8190a77189c7066676f2 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54112e3788190800e295a745c4689 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541808d548190987ad1538c647664 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:34 p.m.