Triple

T9319583
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Reaser E224211 entity
Predicate familyName P18 FINISHED
Object Reaser
Reaser is the surname of American actress Elizabeth Reaser, known for her roles in film and television including the "Twilight" series.
 E791871 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: Reaser | Statement: [Elizabeth Reaser, familyName, Reaser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reaser
Context triple: [Elizabeth Reaser, familyName, Reaser]
  • A. Reiser
    Reiser is a surname most notably associated with American actor, comedian, and writer Paul Reiser.
  • B. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • C. Reitz
    Reitz is a surname of Germanic origin borne by various notable individuals, including politicians, academics, and artists.
  • D. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • E. Robertsen
    Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
  • 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: Reaser
Triple: [Elizabeth Reaser, familyName, Reaser]
Generated description
Reaser is the surname of American actress Elizabeth Reaser, known for her roles in film and television including the "Twilight" series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reaser
Target entity description: Reaser is the surname of American actress Elizabeth Reaser, known for her roles in film and television including the "Twilight" series.
  • A. Reiser
    Reiser is a surname most notably associated with American actor, comedian, and writer Paul Reiser.
  • B. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • C. Reitz
    Reitz is a surname of Germanic origin borne by various notable individuals, including politicians, academics, and artists.
  • D. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • E. Robertsen
    Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0ca049fdc819091e101d8cdcfb7e8 completed April 4, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc6239108190b921eface5cdd543 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:38 p.m.