Triple

T14228491
Position Surface form Disambiguated ID Type / Status
Subject Inspector Gadget E352688 entity
Predicate relative P37 FINISHED
Object Penny
Penny is Inspector Gadget’s intelligent young niece who often solves the cases behind the scenes in the Inspector Gadget series.
E1087156 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: [Inspector Gadget, relative, Penny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penny
Context triple: [Inspector Gadget, relative, 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: [Inspector Gadget, relative, Penny]
Generated description
Penny is Inspector Gadget’s intelligent young niece who often solves the cases behind the scenes in the Inspector Gadget series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penny
Target entity description: Penny is Inspector Gadget’s intelligent young niece who often solves the cases behind the scenes in the Inspector Gadget series.
  • A. 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."
  • B. Penny
    Penny is the brave young orphan girl who is rescued by mice in Disney's animated adventure film "The Rescuers."
  • C. Penny
    Penny is a fictional character appearing in the science fiction novel "Timescape" by Gregory Benford.
  • D. Penny
    Penny is the kind-hearted love interest and social activist in the musical web series "Dr. Horrible's Sing-Along Blog."
  • E. Penny
    Penny is the troubled and delusional mother of Arthur Fleck in the 2019 film "Joker."
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29a470a08190b18c184466bbe0a9 completed May 8, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd2a61842481909388c83480482aeb completed May 8, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:07 a.m.