Triple

T21994573
Position Surface form Disambiguated ID Type / Status
Subject Deep Rising E543171 entity
Predicate mainCharacter P1183 FINISHED
Object Hanover
Hanover is a character in the 1998 sci-fi action horror film "Deep Rising," portrayed as the ruthless leader of a group of mercenaries.
 E1514341 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: Hanover | Statement: [Deep Rising, mainCharacter, Hanover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanover
Context triple: [Deep Rising, mainCharacter, Hanover]
  • A. Hanover
    Hanover is a small town in South Africa, known as the birthplace of prominent trade unionist Zwelinzima Vavi.
  • B. Hanover
    Hanover is a historic city in northern Germany that served as the capital of the former Kingdom of Hanover and the ancestral seat of the British House of Hanover.
  • C. Hanover
    Hanover is a small New Hampshire town best known as the home of Dartmouth College, an Ivy League institution.
  • D. Hanover
    Hanover is a small suburban town in Plymouth County, Massachusetts, known for its residential character and local businesses south of Boston.
  • E. Hanover
    Hanover is a surname most notably associated with Donna Hanover, an American journalist, actress, and former First Lady of New York City.
  • 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: Hanover
Triple: [Deep Rising, mainCharacter, Hanover]
Generated description
Hanover is a character in the 1998 sci-fi action horror film "Deep Rising," portrayed as the ruthless leader of a group of mercenaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanover
Target entity description: Hanover is a character in the 1998 sci-fi action horror film "Deep Rising," portrayed as the ruthless leader of a group of mercenaries.
  • A. Hanover
    Hanover is a surname most notably associated with Donna Hanover, an American journalist, actress, and former First Lady of New York City.
  • B. Hanover
    Hanover is a small town in South Africa, known as the birthplace of prominent trade unionist Zwelinzima Vavi.
  • C. Hanover
    Hanover is a small New Hampshire town best known as the home of Dartmouth College, an Ivy League institution.
  • D. Hanover
    Hanover is a small town in southwestern Ontario, Canada, known for its manufacturing base and regional services within Grey County.
  • E. Hanover
    Hanover is a small suburban town in Plymouth County, Massachusetts, known for its residential character and local businesses south of Boston.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7361a24081908b1334e2ad9923f9 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a780f0c008190bd56b7af0bebbc85 completed May 18, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0a78c2a94c8190841463b0a52ba16e completed May 18, 2026, 2:26 a.m.
Created at: April 16, 2026, 8:18 p.m.