Triple

T3196777
Position Surface form Disambiguated ID Type / Status
Subject Jodie Comer E66953 entity
Predicate notableWork P4 FINISHED
Object Help
Help is a British television drama film starring Jodie Comer that explores the challenges faced by care home workers during the COVID-19 pandemic.
 E336617 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: Help | Statement: [Jodie Comer, notableWork, Help]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Help
Context triple: [Jodie Comer, notableWork, Help]
  • A. Help
    Help is a Wikimedia Commons namespace used for pages that provide guidance and documentation on using and contributing to the media repository.
  • B. Help!
    "Help!" is a 1965 song and title track by the Beatles, widely recognized as one of their classic hits from their early period.
  • C. Help Me
    "Help Me" is a 1974 jazz-inflected folk-pop song by Canadian singer-songwriter Joni Mitchell, widely regarded as one of her signature hits from the album *Court and Spark*.
  • D. Ajuda
    Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
  • E. HELP Committee
    The HELP Committee is a key U.S. Senate committee responsible for legislation and oversight related to health, education, labor, and pensions.
  • 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: Help
Triple: [Jodie Comer, notableWork, Help]
Generated description
Help is a British television drama film starring Jodie Comer that explores the challenges faced by care home workers during the COVID-19 pandemic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Help
Target entity description: Help is a British television drama film starring Jodie Comer that explores the challenges faced by care home workers during the COVID-19 pandemic.
  • A. Help
    Help is a Wikimedia Commons namespace used for pages that provide guidance and documentation on using and contributing to the media repository.
  • B. Help!
    "Help!" is a 1965 song and title track by the Beatles, widely recognized as one of their classic hits from their early period.
  • C. Help Me
    "Help Me" is a 1974 jazz-inflected folk-pop song by Canadian singer-songwriter Joni Mitchell, widely regarded as one of her signature hits from the album *Court and Spark*.
  • D. Ajuda
    Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
  • E. HELP Committee
    The HELP Committee is a key U.S. Senate committee responsible for legislation and oversight related to health, education, labor, and pensions.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7177b488190b7a1b40ff3fae15f completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bb7cd488190ae95c140d9cda296 completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d39e77c8190818f71a3298852d7 completed March 12, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69b25178f3c08190be78bdbd0cdfc5f3 completed March 12, 2026, 5:39 a.m.
Created at: March 8, 2026, 3:07 p.m.