Triple

T14400163
Position Surface form Disambiguated ID Type / Status
Subject Teen Wolf E357048 entity
Predicate starring P1507 FINISHED
Object Susan Ursitti
Susan Ursitti is an American actress best known for playing Boof, the loyal best friend and love interest, in the 1985 film "Teen Wolf."
E1134618 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: Susan Ursitti | Statement: [Teen Wolf, starring, Susan Ursitti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Ursitti
Context triple: [Teen Wolf, starring, Susan Ursitti]
  • A. Lisa Vultaggio
    Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
  • B. Betsy Sodaro
    Betsy Sodaro is an American comedian and character actress known for her high-energy performances in television comedies and improv.
  • C. Susan Benedetto
    Susan Benedetto (born Susan Crow) is an American philanthropist and former schoolteacher best known as the wife of legendary singer Tony Bennett and co-founder of arts education initiatives.
  • D. Lisa Urette
    Lisa Urette is a cast member on the reality television series "Real Life."
  • E. Barbara D’Urso
    Barbara D’Urso is an Italian television host and media personality known for presenting popular reality and talk shows on Italian TV.
  • 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: Susan Ursitti
Triple: [Teen Wolf, starring, Susan Ursitti]
Generated description
Susan Ursitti is an American actress best known for playing Boof, the loyal best friend and love interest, in the 1985 film "Teen Wolf."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Ursitti
Target entity description: Susan Ursitti is an American actress best known for playing Boof, the loyal best friend and love interest, in the 1985 film "Teen Wolf."
  • A. Lisa Vultaggio
    Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
  • B. Betsy Sodaro
    Betsy Sodaro is an American comedian and character actress known for her high-energy performances in television comedies and improv.
  • C. Susan Benedetto
    Susan Benedetto (born Susan Crow) is an American philanthropist and former schoolteacher best known as the wife of legendary singer Tony Bennett and co-founder of arts education initiatives.
  • D. Lisa Urette
    Lisa Urette is a cast member on the reality television series "Real Life."
  • E. Barbara D’Urso
    Barbara D’Urso is an Italian television host and media personality known for presenting popular reality and talk shows on Italian TV.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea66a04988190b483210c1671d287 completed May 9, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69fea70e2fbc81908f168925b06bdbd6 completed May 9, 2026, 3:16 a.m.
Created at: April 10, 2026, 1:17 a.m.