Triple

T12222358
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Braun E291249 entity
Predicate notableWork P4 FINISHED
Object Prom
Prom is a 2011 American teen romantic comedy film that follows a group of high school students as their lives intersect in the lead-up to their prom night.
E968438 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: Prom | Statement: [Nicholas Braun, notableWork, Prom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prom
Context triple: [Nicholas Braun, notableWork, Prom]
  • A. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • B. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • C. Prem
    Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • D. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • E. PR
    PR is the postcode area covering Preston and surrounding parts of Lancashire in North West England.
  • 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: Prom
Triple: [Nicholas Braun, notableWork, Prom]
Generated description
Prom is a 2011 American teen romantic comedy film that follows a group of high school students as their lives intersect in the lead-up to their prom night.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prom
Target entity description: Prom is a 2011 American teen romantic comedy film that follows a group of high school students as their lives intersect in the lead-up to their prom night.
  • A. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • B. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • C. Prem
    Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • D. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • E. PR
    PR is the postcode area covering Preston and surrounding parts of Lancashire in North West England.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa6d3d481909852a6f2f90d7a41 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c06e4c08190985114da9317e8fd completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c97a7e08190b782b3aa6d60d770 completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:51 p.m.