Triple

T13240554
Position Surface form Disambiguated ID Type / Status
Subject The Little Hours E315267 entity
Predicate producer P490 FINISHED
Object Molly Hassell
Molly Hassell is a film producer known for her work on the comedy film "The Little Hours."
E1037960 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 Hassell | Statement: [The Little Hours, producer, Molly Hassell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Hassell
Context triple: [The Little Hours, producer, Molly Hassell]
  • A. Molly Downtain
    Molly Downtain is a soccer executive who serves as the general manager of the National Women's Soccer League club San Diego Wave FC.
  • B. Molly Cregg
    Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
  • C. Molly McCauley
    Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
  • D. Molly Cahill
    Molly Cahill is a young carnival performer and love interest in William Lindsay Gresham’s noir novel "Nightmare Alley," often portrayed as a symbol of innocence amid the story’s corruption and deceit.
  • E. Molly Hogan
    Molly Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse.
  • 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 Hassell
Triple: [The Little Hours, producer, Molly Hassell]
Generated description
Molly Hassell is a film producer known for her work on the comedy film "The Little Hours."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Molly Hassell
Target entity description: Molly Hassell is a film producer known for her work on the comedy film "The Little Hours."
  • A. Molly Downtain
    Molly Downtain is a soccer executive who serves as the general manager of the National Women's Soccer League club San Diego Wave FC.
  • B. Molly Cregg
    Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
  • C. Molly McCauley
    Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
  • D. Molly Cahill
    Molly Cahill is a young carnival performer and love interest in William Lindsay Gresham’s noir novel "Nightmare Alley," often portrayed as a symbol of innocence amid the story’s corruption and deceit.
  • E. Molly Hogan
    Molly Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7305c5f8081908bbe19f2a644acc5 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f731093b0481908fb1a7b3fa14c73e completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f73186da9081908cec946610d745df completed May 3, 2026, 11:29 a.m.
Created at: April 9, 2026, 9:23 p.m.