Triple

T9281602
Position Surface form Disambiguated ID Type / Status
Subject Christina Applegate E223080 entity
Predicate familyName P18 FINISHED
Object Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
 E789937 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: Applegate | Statement: [Christina Applegate, familyName, Applegate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Applegate
Context triple: [Christina Applegate, familyName, Applegate]
  • A. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • B. Appel
    Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
  • C. Applebite
    "Applebite" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • D. Chapple
    Chapple is a small rural township located within Ontario’s Rainy River District in Canada.
  • E. Flurry
    Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
  • 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: Applegate
Triple: [Christina Applegate, familyName, Applegate]
Generated description
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Applegate
Target entity description: Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
  • A. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • B. Appel
    Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
  • C. Applebite
    "Applebite" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • D. Chapple
    Chapple is a small rural township located within Ontario’s Rainy River District in Canada.
  • E. Flurry
    Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081c2b048190aa6930de3bf2f87f completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b209a5b48190a7e6d983bcda5363 completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b3548dd881908adadf4a728cec50 completed April 4, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69d0b4083da88190ab996ee53bf5ff16 completed April 4, 2026, 6:47 a.m.
Created at: March 30, 2026, 7:34 p.m.