Triple

T1041442
Position Surface form Disambiguated ID Type / Status
Subject Lil' Kim E22476 entity
Predicate partner P1136 FINISHED
Object Mr. Papers
Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
E120436 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: Mr. Papers | Statement: [Lil' Kim, partner, Mr. Papers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Papers
Context triple: [Lil' Kim, partner, Mr. Papers]
  • A. The Paper
    The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
  • B. The Bag Man
    The Bag Man is a 2014 neo-noir crime thriller film starring John Cusack and Robert De Niro, centered on a hitman tasked with retrieving a mysterious bag at a remote motel.
  • C. The Gray Lady
    The Gray Lady is a longstanding nickname for The New York Times, reflecting its reputation as a serious, authoritative, and traditional American newspaper.
  • D. The Other Man
    The Other Man is a 2008 psychological thriller film about a husband who becomes obsessed with uncovering the truth about his wife's secret lover.
  • E. Molloy
    Molloy is a modernist novel by Samuel Beckett that follows two interlinked, often absurd and introspective narratives exploring identity, language, and existential uncertainty.
  • 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: Mr. Papers
Triple: [Lil' Kim, partner, Mr. Papers]
Generated description
Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Papers
Target entity description: Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
  • A. The Paper
    The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
  • B. The Bag Man
    The Bag Man is a 2014 neo-noir crime thriller film starring John Cusack and Robert De Niro, centered on a hitman tasked with retrieving a mysterious bag at a remote motel.
  • C. The Gray Lady
    The Gray Lady is a longstanding nickname for The New York Times, reflecting its reputation as a serious, authoritative, and traditional American newspaper.
  • D. The Other Man
    The Other Man is a 2008 psychological thriller film about a husband who becomes obsessed with uncovering the truth about his wife's secret lover.
  • E. Molloy
    Molloy is a modernist novel by Samuel Beckett that follows two interlinked, often absurd and introspective narratives exploring identity, language, and existential uncertainty.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc768948190b1cda4eea93fe4b6 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c41ab70819090084c508dbfd295 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbd43848190854add440753fdad completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:42 p.m.