Triple

T8738181
Position Surface form Disambiguated ID Type / Status
Subject Florence Halop E207436 entity
Predicate notableWork P4 FINISHED
Object Meet Millie
Meet Millie is an American radio and television sitcom from the early 1950s that follows the comedic misadventures of a young Brooklyn secretary and her friends.
E755754 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: Meet Millie | Statement: [Florence Halop, notableWork, Meet Millie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meet Millie
Context triple: [Florence Halop, notableWork, Meet Millie]
  • A. The Mating of Millie
    The Mating of Millie is a 1948 American romantic comedy film starring Glenn Ford and Evelyn Keyes.
  • B. Milly
    Milly is a common diminutive given name, typically used as a nickname for names such as Mildred.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Coming from the Mill
    Coming from the Mill is a famous industrial landscape painting by L. S. Lowry depicting crowds of workers leaving a factory in a stylized, northern English mill town scene.
  • E. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • 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: Meet Millie
Triple: [Florence Halop, notableWork, Meet Millie]
Generated description
Meet Millie is an American radio and television sitcom from the early 1950s that follows the comedic misadventures of a young Brooklyn secretary and her friends.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meet Millie
Target entity description: Meet Millie is an American radio and television sitcom from the early 1950s that follows the comedic misadventures of a young Brooklyn secretary and her friends.
  • A. The Mating of Millie
    The Mating of Millie is a 1948 American romantic comedy film starring Glenn Ford and Evelyn Keyes.
  • B. Milly
    Milly is a common diminutive given name, typically used as a nickname for names such as Mildred.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Coming from the Mill
    Coming from the Mill is a famous industrial landscape painting by L. S. Lowry depicting crowds of workers leaving a factory in a stylized, northern English mill town scene.
  • E. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42c9140081909f9c10560757c860 completed April 3, 2026, 4:32 a.m.
NEDg Description generation batch_69cf43ead588819094089bea94c27207 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf453fa3e4819082466c59649c2f35 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:38 p.m.