Triple

T8890390
Position Surface form Disambiguated ID Type / Status
Subject Iggy Azalea E211646 entity
Predicate notableWork P4 FINISHED
Object Beg for It
"Beg for It" is a hip hop single by Australian rapper Iggy Azalea featuring Danish singer MØ, known for its catchy hook and club-oriented production.
 E763741 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: Beg for It | Statement: [Iggy Azalea, notableWork, Beg for It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beg for It
Context triple: [Iggy Azalea, notableWork, Beg for It]
  • A. Pray for Me
    "Pray for Me" is a track by Snoop Dogg featured on his album "Doggumentary."
  • B. Pray for Me
    "Pray for Me" is an R&B/soul song by American singer Anthony Hamilton, known for its heartfelt lyrics and gospel-infused sound.
  • C. Pray for Me
    "Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
  • D. Come and Get It
    Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
  • E. If You Want It
    "If You Want It" is a song by Lenny Kravitz featured on his 2008 album *It Is Time for a Love Revolution*.
  • 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: Beg for It
Triple: [Iggy Azalea, notableWork, Beg for It]
Generated description
"Beg for It" is a hip hop single by Australian rapper Iggy Azalea featuring Danish singer MØ, known for its catchy hook and club-oriented production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beg for It
Target entity description: "Beg for It" is a hip hop single by Australian rapper Iggy Azalea featuring Danish singer MØ, known for its catchy hook and club-oriented production.
  • A. Pray for Me
    "Pray for Me" is a track by Snoop Dogg featured on his album "Doggumentary."
  • B. Pray for Me
    "Pray for Me" is an R&B/soul song by American singer Anthony Hamilton, known for its heartfelt lyrics and gospel-infused sound.
  • C. Pray for Me
    "Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
  • D. Come and Get It
    Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
  • E. If You Want It
    "If You Want It" is a song by Lenny Kravitz featured on his 2008 album *It Is Time for a Love Revolution*.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc619188508190aacda410f0b4c98d completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf01d048190bed52b5b001d7ffa completed April 3, 2026, noon
NEDg Description generation batch_69cfac9d65ac8190a8234e9999d14ec1 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad0a02888190a960e7b551ca2534 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 6:53 p.m.