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.