Triple

T8207046
Position Surface form Disambiguated ID Type / Status
Subject Lady for a Day E191712 entity
Predicate hasCharacter P2308 FINISHED
Object Apple Annie
Apple Annie is a destitute but warm-hearted street peddler whose attempts to maintain a genteel image for her daughter drive the plot of the 1933 film "Lady for a Day."
 E513882 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: Apple Annie | Statement: [Lady for a Day, hasCharacter, Apple Annie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apple Annie
Context triple: [Lady for a Day, hasCharacter, Apple Annie]
  • A. Apple Annie
    Apple Annie is a down-on-her-luck New York street peddler whose attempts to appear respectable drive the heartwarming comedy-drama in the film "Pocketful of Miracles."
  • B. Applebite
    "Applebite" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • C. Appel
    Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
  • D. Appley
    Appley is a coastal area and beach near Ryde on the Isle of Wight, known for its sandy shoreline, parkland, and family-friendly seaside attractions.
  • E. Catherine Apple
    Catherine Apple is an editor known for her work on projects involving Luca.
  • 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: Apple Annie
Triple: [Lady for a Day, hasCharacter, Apple Annie]
Generated description
Apple Annie is a destitute but warm-hearted street peddler whose attempts to maintain a genteel image for her daughter drive the plot of the 1933 film "Lady for a Day."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apple Annie
Target entity description: Apple Annie is a destitute but warm-hearted street peddler whose attempts to maintain a genteel image for her daughter drive the plot of the 1933 film "Lady for a Day."
  • A. Apple Annie chosen
    Apple Annie is a down-on-her-luck New York street peddler whose attempts to appear respectable drive the heartwarming comedy-drama in the film "Pocketful of Miracles."
  • B. Applebite
    "Applebite" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • C. Appel
    Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
  • D. Appley
    Appley is a coastal area and beach near Ryde on the Isle of Wight, known for its sandy shoreline, parkland, and family-friendly seaside attractions.
  • E. Catherine Apple
    Catherine Apple is an editor known for her work on projects involving Luca.
  • F. None of above.

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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedda69148190b8c221221de5dae5 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1ba74548190831677bb126bea1a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05c2059081908bd04ee4722f9aad completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:43 p.m.