Triple

T16264228
Position Surface form Disambiguated ID Type / Status
Subject Trish Van Devere E394832 entity
Predicate familyName P18 FINISHED
Object Dressel
Dressel is the surname of American actress Trish Van Devere, known for her film and television work in the 1970s and 1980s.
 E1204205 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: Dressel | Statement: [Trish Van Devere, familyName, Dressel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dressel
Context triple: [Trish Van Devere, familyName, Dressel]
  • A. Ederle
    Ederle is the surname of Gertrude Ederle, the American competitive swimmer famed for being the first woman to swim across the English Channel.
  • B. Fintas
    Fintas is a coastal residential area in Kuwait known for its seaside location and proximity to other suburbs like Al-Funaitees.
  • C. Schwimmer
    Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
  • D. Rob Dressel
    Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
  • E. Nyad
    Nyad is a biographical drama film depicting long-distance swimmer Diana Nyad's historic attempt to swim from Cuba to Florida at age 64.
  • 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: Dressel
Triple: [Trish Van Devere, familyName, Dressel]
Generated description
Dressel is the surname of American actress Trish Van Devere, known for her film and television work in the 1970s and 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dressel
Target entity description: Dressel is the surname of American actress Trish Van Devere, known for her film and television work in the 1970s and 1980s.
  • A. Ederle
    Ederle is the surname of Gertrude Ederle, the American competitive swimmer famed for being the first woman to swim across the English Channel.
  • B. Fintas
    Fintas is a coastal residential area in Kuwait known for its seaside location and proximity to other suburbs like Al-Funaitees.
  • C. Schwimmer
    Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
  • D. Rob Dressel
    Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
  • E. Nyad
    Nyad is a biographical drama film depicting long-distance swimmer Diana Nyad's historic attempt to swim from Cuba to Florida at age 64.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c672248190a4261be4696d52c5 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b5f3a8819083128cf2b90cfd84 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001978fed48190963b327da30c31f0 completed May 10, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a001a0def548190a1d800f858f3cb02 completed May 10, 2026, 5:39 a.m.
Created at: April 10, 2026, 5:05 a.m.