Triple

T20397789
Position Surface form Disambiguated ID Type / Status
Subject I Was a Teenage Werewolf E500253 entity
Predicate mainCharacter P1183 FINISHED
Object Tony Rivers
Tony Rivers is the troubled high school student who transforms into a werewolf in the 1957 horror film "I Was a Teenage Werewolf."
E1444262 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: Tony Rivers | Statement: [I Was a Teenage Werewolf, mainCharacter, Tony Rivers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Rivers
Context triple: [I Was a Teenage Werewolf, mainCharacter, Tony Rivers]
  • A. Jack Alcott
    Jack Alcott is an American actor best known for playing Harrison Morgan in the television series "Dexter: New Blood."
  • B. Brian Richmond
    Brian Richmond is a Canadian theatre director and producer best known for establishing and leading influential stage companies such as Persephone Theatre.
  • C. Ron Johnston
    Ron Johnston was a prominent British geographer renowned for his influential work in political and urban geography.
  • D. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • E. Lewis Pilcher
    Lewis Pilcher was an American architect known for designing prominent military and civic structures in New York, including major armories.
  • 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: Tony Rivers
Triple: [I Was a Teenage Werewolf, mainCharacter, Tony Rivers]
Generated description
Tony Rivers is the troubled high school student who transforms into a werewolf in the 1957 horror film "I Was a Teenage Werewolf."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tony Rivers
Target entity description: Tony Rivers is the troubled high school student who transforms into a werewolf in the 1957 horror film "I Was a Teenage Werewolf."
  • A. Jack Alcott
    Jack Alcott is an American actor best known for playing Harrison Morgan in the television series "Dexter: New Blood."
  • B. Brian Richmond
    Brian Richmond is a Canadian theatre director and producer best known for establishing and leading influential stage companies such as Persephone Theatre.
  • C. Ron Johnston
    Ron Johnston was a prominent British geographer renowned for his influential work in political and urban geography.
  • D. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • E. Lewis Pilcher
    Lewis Pilcher was an American architect known for designing prominent military and civic structures in New York, including major armories.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd474d488190936ea776ee43f50c completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d174278481909db394da2a7ff969 completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d293523c8190aaa01c6c73c9afd5 completed May 16, 2026, 8:24 p.m.
Created at: April 16, 2026, 11:29 a.m.