Triple

T9952853
Position Surface form Disambiguated ID Type / Status
Subject Leonard Hofstadter E195370 entity
Predicate loveInterest P7325 FINISHED
Object Penny E193351 NE FINISHED

How this triple was built (2 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: [Leonard Hofstadter, loveInterest, Penny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penny
Context triple: [Leonard Hofstadter, loveInterest, Penny]
  • A. Penny chosen
    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 a character in Jim Jarmusch’s film "Broken Flowers," one of the former lovers visited by the protagonist during his cross-country journey.
  • 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 Pritzker is an American billionaire businesswoman, civic leader, and former U.S. Secretary of Commerce in the Obama administration.
  • E. Penny
    Penny is a familiar diminutive form of the given name Penelope, often used as a friendly and informal nickname.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb693918081908e9f96ef302235ad completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257a164308190b88432b914ea7f1a completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:46 p.m.