Triple

T12277874
Position Surface form Disambiguated ID Type / Status
Subject Madame Medusa E292636 entity
Predicate targetOfCrime P51875 FINISHED
Object Penny
Penny is the brave young orphan girl who becomes the kidnapped heroine in Disney’s animated film "The Rescuers."
 E292635 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: Penny | Statement: [Madame Medusa, targetOfCrime, Penny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penny
Context triple: [Madame Medusa, targetOfCrime, Penny]
  • A. Penny
    Penny is a character in Jim Jarmusch’s film "Broken Flowers," one of the former lovers visited by the protagonist during his cross-country journey.
  • B. Penny
    Penny Pritzker is an American billionaire businesswoman, civic leader, and former U.S. Secretary of Commerce in the Obama administration.
  • C. Penny
    Penny is a familiar diminutive form of the given name Penelope, often used as a friendly and informal nickname.
  • D. Penny
    Penny is a friendly, aspiring actress and waitress who becomes the sociable, down-to-earth neighbor and later close friend and love interest of the main nerdy characters in the sitcom "The Big Bang Theory."
  • E. Penny
    Penny is the nickname of Anfernee "Penny" Hardaway, a former NBA All-Star guard and current college basketball coach known for his dynamic playmaking and scoring in the 1990s.
  • 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: Penny
Triple: [Madame Medusa, targetOfCrime, Penny]
Generated description
Penny is the brave young orphan girl who becomes the kidnapped heroine in Disney’s animated film "The Rescuers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penny
Target entity description: Penny is the brave young orphan girl who becomes the kidnapped heroine in Disney’s animated film "The Rescuers."
  • A. Penny chosen
    Penny is the brave young orphan girl who is rescued by mice in Disney's animated adventure film "The Rescuers."
  • B. Penny
    Penny is the troubled and delusional mother of Arthur Fleck in the 2019 film "Joker."
  • C. Penny
    Penny is a character in Jim Jarmusch’s film "Broken Flowers," one of the former lovers visited by the protagonist during his cross-country journey.
  • D. Penny
    Penny is a friendly, aspiring actress and waitress who becomes the sociable, down-to-earth neighbor and later close friend and love interest of the main nerdy characters in the sitcom "The Big Bang Theory."
  • E. Penny
    Penny is a fictional character appearing in the science fiction novel "Timescape" by Gregory Benford.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c54e6b08190bdae0ec35cc1c48d completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d0c2568819083e66c8ae484d30d completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:52 p.m.