Triple

T6279319
Position Surface form Disambiguated ID Type / Status
Subject Simon Fuller E140740 entity
Predicate managed P3234 FINISHED
Object Jennifer Lopez E68363 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: Jennifer Lopez | Statement: [Simon Fuller, managed, Jennifer Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Lopez
Context triple: [Simon Fuller, managed, Jennifer Lopez]
  • A. Jennifer Lopez chosen
    Jennifer Lopez is an American singer, actress, and dancer who became a global pop culture icon through her chart-topping music, film roles, and influential performances.
  • B. Christina Aguilera
    Christina Aguilera is an American pop and R&B singer known for her powerful vocal range, soulful performances, and hits like "Genie in a Bottle" and "Beautiful."
  • C. Dayanara Torres
    Dayanara Torres is a Puerto Rican actress, model, and former Miss Universe who gained international fame in the 1990s.
  • D. Emily Estefan
    Emily Estefan is an American singer, songwriter, and producer known for her eclectic musical style and for being the daughter of musicians Gloria and Emilio Estefan.
  • E. Christina Milian
    Christina Milian is an American singer, songwriter, and actress known for early-2000s R&B-pop hits like "Dip It Low" and roles in films such as "Love Don't Cost a Thing."
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dc55d48190b5ed48a50f3a742e completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519549cf0819096d01c23f6c915eb completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.