Triple

T14723018
Position Surface form Disambiguated ID Type / Status
Subject Into the Storm (2014 film) E345861 entity
Predicate hasCharacter P2308 FINISHED
Object Pete
Pete is a character in the 2014 found-footage-style disaster film "Into the Storm," which centers on a series of devastating tornadoes striking a small town.
E1115671 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: Pete | Statement: [Into the Storm (2014 film), hasCharacter, Pete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete
Context triple: [Into the Storm (2014 film), hasCharacter, Pete]
  • A. Pete
    Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
  • B. Pete
    Pete is the young orphaned boy who befriends and is protected by a friendly dragon in the Disney film "Pete's Dragon."
  • C. Pete
    Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
  • D. Pete
    Pete is a fictional character known as the son of Uncle Tom in Harriet Beecher Stowe’s anti-slavery novel "Uncle Tom’s Cabin."
  • E. Pete
    Pete is the well-known nickname of Confederate General James Longstreet, one of Robert E. Lee’s principal corps commanders during the American Civil War.
  • 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: Pete
Triple: [Into the Storm (2014 film), hasCharacter, Pete]
Generated description
Pete is a character in the 2014 found-footage-style disaster film "Into the Storm," which centers on a series of devastating tornadoes striking a small town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pete
Target entity description: Pete is a character in the 2014 found-footage-style disaster film "Into the Storm," which centers on a series of devastating tornadoes striking a small town.
  • A. Pete
    Pete is a fictional character known as the son of Uncle Tom in Harriet Beecher Stowe’s anti-slavery novel "Uncle Tom’s Cabin."
  • B. Pete
    Pete is the young orphaned boy who befriends and is protected by a friendly dragon in the Disney film "Pete's Dragon."
  • C. Pete
    Pete is a central figure in Stephen Crane’s novella "Maggie: A Girl of the Streets," representing the rough, working-class masculinity of New York’s Bowery slums.
  • D. Pete
    Pete is the nickname of Frank K. Everest Jr., a renowned United States Air Force test pilot and brigadier general known for his high-speed flight records.
  • E. Pete
    Pete is one of the teenage members of Alex's violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0957bb081908f1f382f3be8ec20 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf440a03c8190886119ab3c8ab610 completed May 8, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_69fdf4f2acbc8190b51ee456093a2813 completed May 8, 2026, 2:36 p.m.
Created at: April 10, 2026, 1:29 a.m.