Triple

T14765601
Position Surface form Disambiguated ID Type / Status
Subject Teen Wolf Too E346984 entity
Predicate featuresCharacter P626 FINISHED
Object Dean Dunn
Dean Dunn is a character from the 1987 comedy film "Teen Wolf Too," which follows a college student who discovers his family's werewolf legacy.
 E1128255 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: Dean Dunn | Statement: [Teen Wolf Too, featuresCharacter, Dean Dunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dean Dunn
Context triple: [Teen Wolf Too, featuresCharacter, Dean Dunn]
  • A. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • B. Ian Dunn
    Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
  • C. Ed Guiney
    Ed Guiney is an Irish film producer and co-founder of Element Pictures, known for collaborating on acclaimed films such as "The Favourite," "Room," and "Poor Things."
  • D. Dean Sampson
    Dean Sampson is the arrogant, manipulative antagonist in the teen romantic comedy film "She's All That."
  • E. Dan Talbot
    Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
  • 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: Dean Dunn
Triple: [Teen Wolf Too, featuresCharacter, Dean Dunn]
Generated description
Dean Dunn is a character from the 1987 comedy film "Teen Wolf Too," which follows a college student who discovers his family's werewolf legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dean Dunn
Target entity description: Dean Dunn is a character from the 1987 comedy film "Teen Wolf Too," which follows a college student who discovers his family's werewolf legacy.
  • A. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • B. Ian Dunn
    Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
  • C. Ed Guiney
    Ed Guiney is an Irish film producer and co-founder of Element Pictures, known for collaborating on acclaimed films such as "The Favourite," "Room," and "Poor Things."
  • D. Dean Sampson
    Dean Sampson is the arrogant, manipulative antagonist in the teen romantic comedy film "She's All That."
  • E. Dan Talbot
    Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7bb24c8190b67fb4e098b15d83 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7f5eb7ec819091340154065a72dd completed May 9, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_69fe7fa1ee588190aa912920ccca6605 completed May 9, 2026, 12:28 a.m.
Created at: April 10, 2026, 1:30 a.m.