Triple

T2198844
Position Surface form Disambiguated ID Type / Status
Subject Jordan Peele E50440 entity
Predicate notableWork P4 FINISHED
Object Us
Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
 E306643 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: Us | Statement: [Jordan Peele, notableWork, Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Us
Context triple: [Jordan Peele, notableWork, Us]
  • A. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • C. United States of America
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • D. .us
    .us is the country code top-level domain (ccTLD) designated for websites associated with the United States.
  • E. UST
    UST is a historic and prestigious Catholic university in Manila, Philippines, known as one of Asia’s oldest existing universities.
  • 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: Us
Triple: [Jordan Peele, notableWork, Us]
Generated description
Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Us
Target entity description: Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
  • A. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • C. United States of America
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • D. .us
    .us is the country code top-level domain (ccTLD) designated for websites associated with the United States.
  • E. UST
    UST is a historic and prestigious Catholic university in Manila, Philippines, known as one of Asia’s oldest existing universities.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf7b65cc8190bcc5a5c52b90f33b completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01cf667bc81909d1de1542d53076a completed March 10, 2026, 1:30 p.m.
NEDg Description generation batch_69b022df23ec81909b4db2bb3fa2a76f completed March 10, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_69b02394cf6c8190a4ac013f46d89806 completed March 10, 2026, 1:58 p.m.
Created at: March 4, 2026, 7:46 p.m.