Triple

T13696711
Position Surface form Disambiguated ID Type / Status
Subject The Hitmen production team E328402 entity
Predicate member P10 FINISHED
Object LV
LV is an American rapper and singer best known for his soulful hook on Coolio’s Grammy-winning hit “Gangsta’s Paradise.”
 E1055219 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: LV | Statement: [The Hitmen production team, member, LV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LV
Context triple: [The Hitmen production team, member, LV]
  • A. LV
    LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
  • B. LEV
    LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • E. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • 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: LV
Triple: [The Hitmen production team, member, LV]
Generated description
LV is an American rapper and singer best known for his soulful hook on Coolio’s Grammy-winning hit “Gangsta’s Paradise.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LV
Target entity description: LV is an American rapper and singer best known for his soulful hook on Coolio’s Grammy-winning hit “Gangsta’s Paradise.”
  • A. LV
    LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
  • B. LEV
    LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • E. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:54 p.m.