Triple

T22965523
Position Surface form Disambiguated ID Type / Status
Subject Penny Chenery E571032 entity
Predicate nickname P55 FINISHED
Object Penny
Penny is the nickname of Penny Chenery, the American racehorse owner best known for breeding and racing the legendary Triple Crown winner Secretariat.
 E1563631 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: [Penny Chenery, nickname, Penny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penny
Context triple: [Penny Chenery, nickname, Penny]
  • A. Penny
    Penny is the given name of American actress Penny Johnson Jerald, known for her roles in series such as "24" and "Star Trek: Deep Space Nine."
  • B. 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."
  • C. 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.
  • D. Penny
    Penny is a fictional character appearing in the science fiction novel "Timescape" by Gregory Benford.
  • E. 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.
  • 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: [Penny Chenery, nickname, Penny]
Generated description
Penny is the nickname of Penny Chenery, the American racehorse owner best known for breeding and racing the legendary Triple Crown winner Secretariat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penny
Target entity description: Penny is the nickname of Penny Chenery, the American racehorse owner best known for breeding and racing the legendary Triple Crown winner Secretariat.
  • A. 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.
  • B. Penny
    Penny is a familiar diminutive form of the given name Penelope, often used as a friendly and informal nickname.
  • C. Penny
    Penny is a British model, photographer, and television personality best known for her work on "Loose Women" and her marriage to rock singer Rod Stewart.
  • D. Penny
    Penny is the given name of American actress Penny Johnson Jerald, known for her roles in series such as "24" and "Star Trek: Deep Space Nine."
  • E. Penny
    Penny Pritzker is an American billionaire businesswoman, civic leader, and former U.S. Secretary of Commerce in the Obama administration.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822e542c8190a865f18e64fc0768 completed April 29, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca24aab881908c77bac6ee658418 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcb59767881908ada8c0e3907875d completed May 19, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:47 p.m.