Triple

T14779014
Position Surface form Disambiguated ID Type / Status
Subject Perdita E347340 entity
Predicate hasChildren P289 FINISHED
Object Penny
Penny is a fictional character known as the daughter of Perdita in the work in which they appear.
E1118984 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: [Perdita, hasChildren, Penny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penny
Context triple: [Perdita, hasChildren, 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 is a central character in the educational context of "Teachers," likely portrayed as a key figure around whom classroom stories and interactions revolve.
  • C. Penny
    Penny is the troubled, introspective narrator of the horror novel "We Spread," whose unsettling experiences in a mysterious care home drive the story’s exploration of memory, aging, and reality.
  • 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: [Perdita, hasChildren, Penny]
Generated description
Penny is a fictional character known as the daughter of Perdita in the work in which they appear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penny
Target entity description: Penny is a fictional character known as the daughter of Perdita in the work in which they appear.
  • A. Penny
    Penny is a fictional character appearing in the science fiction novel "Timescape" by Gregory Benford.
  • B. Penny
    Penny is the troubled and delusional mother of Arthur Fleck in the 2019 film "Joker."
  • C. Penny
    Penny is Inspector Gadget’s intelligent young niece who often solves the cases behind the scenes in the Inspector Gadget series.
  • D. 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.
  • E. Penny
    Penny is the kind-hearted love interest and social activist in the musical web series "Dr. Horrible's Sing-Along Blog."
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d00d46c8190b6289a9b8511a8fb completed May 8, 2026, 4:19 p.m.
NEDg Description generation batch_69fe17e255408190b1155c06854715ea completed May 8, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe1865a1d8819085d62375ab6cccfe completed May 8, 2026, 5:07 p.m.
Created at: April 10, 2026, 1:31 a.m.