Triple

T23257675
Position Surface form Disambiguated ID Type / Status
Subject Sam Bockarie E581915 entity
Predicate alsoKnownAs P39 FINISHED
Object Maskita
Maskita is the alias of Sam Bockarie, a notorious Sierra Leonean rebel commander and key figure in the Revolutionary United Front during the country’s civil war.
E1577108 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: Maskita | Statement: [Sam Bockarie, alsoKnownAs, Maskita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maskita
Context triple: [Sam Bockarie, alsoKnownAs, Maskita]
  • A. Maski
    Maski is a historic town in Karnataka, India, known for yielding one of the earliest Ashokan rock edicts that explicitly names the Mauryan emperor Ashoka.
  • B. Maskun
    Maskun was an Indonesian politician associated with the nationalist movement and the Indonesian National Party.
  • C. Makhfi
    Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
  • D. The King of Masks
    The King of Masks is a critically acclaimed 1996 Chinese drama film about an aging street performer who longs for a male heir to inherit his secret art of mask-changing.
  • E. Máscaras
    Máscaras is a Brazilian telenovela known for its themes of identity, intrigue, and deception.
  • 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: Maskita
Triple: [Sam Bockarie, alsoKnownAs, Maskita]
Generated description
Maskita is the alias of Sam Bockarie, a notorious Sierra Leonean rebel commander and key figure in the Revolutionary United Front during the country’s civil war.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maskita
Target entity description: Maskita is the alias of Sam Bockarie, a notorious Sierra Leonean rebel commander and key figure in the Revolutionary United Front during the country’s civil war.
  • A. Maski
    Maski is a historic town in Karnataka, India, known for yielding one of the earliest Ashokan rock edicts that explicitly names the Mauryan emperor Ashoka.
  • B. Maskun
    Maskun was an Indonesian politician associated with the nationalist movement and the Indonesian National Party.
  • C. Makhfi
    Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
  • D. The King of Masks
    The King of Masks is a critically acclaimed 1996 Chinese drama film about an aging street performer who longs for a male heir to inherit his secret art of mask-changing.
  • E. Máscaras
    Máscaras is a Brazilian telenovela known for its themes of identity, intrigue, and deception.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6be3ec8190be316ae03c3b3729 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.