Triple

T12928307
Position Surface form Disambiguated ID Type / Status
Subject Princess Bubblegum E309303 entity
Predicate nickname P55 FINISHED
Object PB
PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
 E1011124 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: PB | Statement: [Princess Bubblegum, nickname, PB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PB
Context triple: [Princess Bubblegum, nickname, PB]
  • A. PB
    PB is the official vehicle registration code for the Brazilian state of Paraíba.
  • B. PB
    PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
  • C. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • D. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • E. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • 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: PB
Triple: [Princess Bubblegum, nickname, PB]
Generated description
PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PB
Target entity description: PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
  • A. PB
    PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
  • B. PB
    PB is the official vehicle registration code for the Brazilian state of Paraíba.
  • C. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • D. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • E. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6655e88190ac33567870a947bb completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.