Triple

T16770840
Position Surface form Disambiguated ID Type / Status
Subject Sheldon Lettich E407589 entity
Predicate notableWork P4 FINISHED
Object Legionnaire
"Legionnaire" is a 1998 action-adventure film starring Jean-Claude Van Damme as a boxer who joins the French Foreign Legion to escape the mob.
 E1232647 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: Legionnaire | Statement: [Sheldon Lettich, notableWork, Legionnaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Legionnaire
Context triple: [Sheldon Lettich, notableWork, Legionnaire]
  • A. The Legionnaires
    The Legionnaires is a documentary novel by Swedish author Per Olov Enquist that examines the controversial postwar extradition of Baltic soldiers from Sweden to the Soviet Union.
  • B. Legion
    "Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
  • C. Legion
    Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
  • D. Legion
    Legion is the nickname of Birmingham Legion FC, a professional soccer club based in Birmingham, Alabama, competing in the USL Championship.
  • E. Legion
    Legion is a 1983 horror novel by William Peter Blatty that serves as a philosophical and supernatural sequel to The Exorcist, following Lieutenant Kinderman as he investigates a series of bizarre murders.
  • 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: Legionnaire
Triple: [Sheldon Lettich, notableWork, Legionnaire]
Generated description
"Legionnaire" is a 1998 action-adventure film starring Jean-Claude Van Damme as a boxer who joins the French Foreign Legion to escape the mob.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Legionnaire
Target entity description: "Legionnaire" is a 1998 action-adventure film starring Jean-Claude Van Damme as a boxer who joins the French Foreign Legion to escape the mob.
  • A. The Legionnaires
    The Legionnaires is a documentary novel by Swedish author Per Olov Enquist that examines the controversial postwar extradition of Baltic soldiers from Sweden to the Soviet Union.
  • B. Legion
    "Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
  • C. Legion
    Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
  • D. Legion
    Legion is the nickname of Birmingham Legion FC, a professional soccer club based in Birmingham, Alabama, competing in the USL Championship.
  • E. Legion
    Legion is a major Path of Exile expansion that introduced time-frozen armies from Wraeclast’s past, emphasizing large-scale combat and rewarding encounters.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0361e5081908f58edf766ff3ce0 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5361c3881909be0fb9b83a59993 completed May 10, 2026, 3:33 p.m.
NEDg Description generation batch_6a00a727e66481908b98e10a8bbe9747 completed May 10, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7f776788190b1467c478b5c1a33 completed May 10, 2026, 3:44 p.m.
Created at: April 10, 2026, 5:21 a.m.