Triple

T20389285
Position Surface form Disambiguated ID Type / Status
Subject Live Free or Die Hard E498042 entity
Predicate character P662 FINISHED
Object Mai Linh
Mai Linh is a skilled and ruthless cyber-terrorist operative who serves as one of the primary antagonists in the action film "Live Free or Die Hard."
E1428714 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: Mai Linh | Statement: [Live Free or Die Hard, character, Mai Linh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mai Linh
Context triple: [Live Free or Die Hard, character, Mai Linh]
  • A. Dang Bich Ha
    Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
  • B. Linh Song
    Linh Song is a Vietnamese American nonprofit and civic leader known for her work in community development and public service in Ann Arbor, Michigan.
  • C. Trinh Hoi Quan
    Trinh Hoi Quan is an individual known primarily for being a notable bearer of the surname Quan.
  • D. Mei Lin
    Mei Lin is a sharp, ambitious Chinese-American medical student and love interest of Joel Maisel in the television series "The Marvelous Mrs. Maisel."
  • E. Tran Dong Lan
    Tran Dong Lan is the birth name of Vietnamese-American actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
  • 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: Mai Linh
Triple: [Live Free or Die Hard, character, Mai Linh]
Generated description
Mai Linh is a skilled and ruthless cyber-terrorist operative who serves as one of the primary antagonists in the action film "Live Free or Die Hard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mai Linh
Target entity description: Mai Linh is a skilled and ruthless cyber-terrorist operative who serves as one of the primary antagonists in the action film "Live Free or Die Hard."
  • A. Dang Bich Ha
    Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
  • B. Linh Song
    Linh Song is a Vietnamese American nonprofit and civic leader known for her work in community development and public service in Ann Arbor, Michigan.
  • C. Trinh Hoi Quan
    Trinh Hoi Quan is an individual known primarily for being a notable bearer of the surname Quan.
  • D. Mei Lin
    Mei Lin is a sharp, ambitious Chinese-American medical student and love interest of Joel Maisel in the television series "The Marvelous Mrs. Maisel."
  • E. Tran Dong Lan
    Tran Dong Lan is the birth name of Vietnamese-American actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08762218448190a3339dbbe0f23962 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a087754af1481909a8ffa042aad2f42 completed May 16, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0877dcf9548190bd42db7a54aea824 completed May 16, 2026, 1:57 p.m.
Created at: April 16, 2026, 11:28 a.m.