Triple

T8421417
Position Surface form Disambiguated ID Type / Status
Subject Princess Love E198862 entity
Predicate familyName P18 FINISHED
Object Love
Love is a common English surname shared by various notable individuals across entertainment, sports, and other fields.
E451531 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: Love | Statement: [Princess Love, familyName, Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love
Context triple: [Princess Love, familyName, Love]
  • A. Love
    Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
  • B. Love
    "Love" is a smooth, neo-soul R&B song by Musiq Soulchild that became one of his signature hits in the early 2000s.
  • C. Love
    "Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
  • D. Love
    "Love" is a minimalist, introspective song by John Lennon from his 1970 solo album "John Lennon/Plastic Ono Band," known for its sparse arrangement and tender meditation on the nature of love.
  • E. Love
    Love is an American 1960s rock band from Los Angeles, best known for their influential psychedelic and folk-rock album "Forever Changes."
  • 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: Love
Triple: [Princess Love, familyName, Love]
Generated description
Love is a common English surname shared by various notable individuals across entertainment, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Love
Target entity description: Love is a common English surname shared by various notable individuals across entertainment, sports, and other fields.
  • A. Love chosen
    Love is a common English surname borne by various notable individuals across fields such as science, sports, and the arts.
  • B. Love
    Love is a given name, notably borne by Swedish writer and romantic poet Carl Jonas Love Almqvist.
  • C. Love
    Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
  • D. Love
    Love is a complex and multifaceted human emotion characterized by deep affection, attachment, and care for others.
  • E. Love
    Love is a Netflix romantic comedy-drama series that explores the complexities of modern relationships through the perspectives of two flawed protagonists.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035279f48190861b97167fa3882c completed April 2, 2026, 5:49 a.m.
NEDg Description generation batch_69ce0782b0dc8190bf971eacb3b4582c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce0854ce788190a209f229d504c038 completed April 2, 2026, 6:10 a.m.
Created at: March 30, 2026, 6:06 p.m.