Triple

T23257674
Position Surface form Disambiguated ID Type / Status
Subject Sam Bockarie E581915 entity
Predicate alsoKnownAs P39 FINISHED
Object Mosquito
Mosquito was the nom de guerre of Sam Bockarie, a prominent and notorious commander in Sierra Leone’s Revolutionary United Front during the civil war.
E1577107 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: Mosquito | Statement: [Sam Bockarie, alsoKnownAs, Mosquito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosquito
Context triple: [Sam Bockarie, alsoKnownAs, Mosquito]
  • A. Mosquito
    Mosquito is a 1994 American horror film featuring giant mutant mosquitoes that terrorize a group of people in a remote area.
  • B. Mosquito
    "Mosquito" is a 2013 studio album by American indie rock band Yeah Yeah Yeahs, noted for its eclectic sound and experimental production.
  • C. Mosquitoes
    "Mosquitoes" is a play by British dramatist Lucy Kirkwood that intertwines family drama with themes of science, grief, and the ethical implications of modern physics.
  • D. Moskito
    Moskito was the nickname of the German World War II Focke-Wulf Ta 154 twin-engine night fighter, designed as a fast, wooden aircraft intended to counter the British de Havilland Mosquito.
  • E. Mücke
    Mücke is a municipality in the Vogelsbergkreis district in the state of Hesse in central Germany.
  • 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: Mosquito
Triple: [Sam Bockarie, alsoKnownAs, Mosquito]
Generated description
Mosquito was the nom de guerre of Sam Bockarie, a prominent and notorious commander in Sierra Leone’s Revolutionary United Front during the civil war.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mosquito
Target entity description: Mosquito was the nom de guerre of Sam Bockarie, a prominent and notorious commander in Sierra Leone’s Revolutionary United Front during the civil war.
  • A. Mosquito
    "Mosquito" is a 2013 studio album by American indie rock band Yeah Yeah Yeahs, noted for its eclectic sound and experimental production.
  • B. Mosquito
    Mosquito is a 1994 American horror film featuring giant mutant mosquitoes that terrorize a group of people in a remote area.
  • C. Mosquitoes
    "Mosquitoes" is a play by British dramatist Lucy Kirkwood that intertwines family drama with themes of science, grief, and the ethical implications of modern physics.
  • D. Moskito
    Moskito was the nickname of the German World War II Focke-Wulf Ta 154 twin-engine night fighter, designed as a fast, wooden aircraft intended to counter the British de Havilland Mosquito.
  • E. Mücke
    Mücke is a municipality in the Vogelsbergkreis district in the state of Hesse in central Germany.
  • 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.