Triple

T9854001
Position Surface form Disambiguated ID Type / Status
Subject Alan & Naomi E239538 entity
Predicate castMember P1668 FINISHED
Object Eric Weiss
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
E845402 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: Eric Weiss | Statement: [Alan & Naomi, castMember, Eric Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Weiss
Context triple: [Alan & Naomi, castMember, Eric Weiss]
  • A. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • B. Rob Weiss
    Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
  • C. Robert Weiss
    Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
  • D. Michael Weiss
    Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
  • E. Jay Weiss
    Jay Weiss is a New York real estate developer best known as the former husband of actress Kathleen Turner.
  • 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: Eric Weiss
Triple: [Alan & Naomi, castMember, Eric Weiss]
Generated description
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eric Weiss
Target entity description: Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
  • A. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • B. Rob Weiss
    Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
  • C. Robert Weiss
    Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
  • D. Michael Weiss
    Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
  • E. Jay Weiss
    Jay Weiss is a New York real estate developer best known as the former husband of actress Kathleen Turner.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2fff34bb08190bebd5089324782dd completed April 6, 2026, 12:36 a.m.
NEDg Description generation batch_69d301dd614481909b357f319ba5e876 completed April 6, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d302978e808190a9f5371a2bf4abce completed April 6, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:34 p.m.