Triple

T14811055
Position Surface form Disambiguated ID Type / Status
Subject Trinidad Cardona E348177 entity
Predicate notableWork P4 FINISHED
Object Jennifer
"Jennifer" is a viral R&B-influenced pop song by American singer Trinidad Cardona that gained widespread popularity through social media platforms.
 E47548 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: Jennifer | Statement: [Trinidad Cardona, notableWork, Jennifer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jennifer
Context triple: [Trinidad Cardona, notableWork, Jennifer]
  • A. Jennifer
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • B. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • C. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • D. Jane
    Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
  • E. Jessica
    Jessica Barth is an American actress best known for her comedic role as Tami-Lynn in the "Ted" film series.
  • 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: Jennifer
Triple: [Trinidad Cardona, notableWork, Jennifer]
Generated description
"Jennifer" is a viral R&B-influenced pop song by American singer Trinidad Cardona that gained widespread popularity through social media platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jennifer
Target entity description: "Jennifer" is a viral R&B-influenced pop song by American singer Trinidad Cardona that gained widespread popularity through social media platforms.
  • A. Jennifer chosen
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • B. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • C. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • D. Jane
    Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
  • E. Jessica
    Jessica Barth is an American actress best known for her comedic role as Tami-Lynn in the "Ted" film series.
  • F. None of above.

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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe26d7be04819090860d5180c72329 completed May 8, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe277c73c481908ca3bdb1c2113598 completed May 8, 2026, 6:12 p.m.
Created at: April 10, 2026, 1:46 a.m.