Triple

T7003511
Position Surface form Disambiguated ID Type / Status
Subject Erika Christensen E162393 entity
Predicate notableWork P4 FINISHED
Object Thanks
"Thanks" is a film featuring Erika Christensen in a notable role.
E634356 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: Thanks | Statement: [Erika Christensen, notableWork, Thanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanks
Context triple: [Erika Christensen, notableWork, Thanks]
  • A. Thank U
    "Thank U" is a reflective alternative rock song by Alanis Morissette, known for its introspective lyrics about gratitude and personal growth.
  • B. Gracias
    Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
  • C. Grazie
    Grazie is a 2006 studio album by Italian rock singer-songwriter Gianna Nannini that blends pop-rock sounds with introspective, socially aware lyrics.
  • D. Grateful
    Grateful is DJ Khaled’s star-studded hip-hop album known for its major hit singles and extensive roster of high-profile guest artists.
  • E. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • 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: Thanks
Triple: [Erika Christensen, notableWork, Thanks]
Generated description
"Thanks" is a film featuring Erika Christensen in a notable role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thanks
Target entity description: "Thanks" is a film featuring Erika Christensen in a notable role.
  • A. Thank U
    "Thank U" is a reflective alternative rock song by Alanis Morissette, known for its introspective lyrics about gratitude and personal growth.
  • B. Gracias
    Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
  • C. Grazie
    Grazie is a 2006 studio album by Italian rock singer-songwriter Gianna Nannini that blends pop-rock sounds with introspective, socially aware lyrics.
  • D. Grateful
    Grateful is DJ Khaled’s star-studded hip-hop album known for its major hit singles and extensive roster of high-profile guest artists.
  • E. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc12af788190b3d06ffc46568410 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a368d0881908e15e473bcd6f572 completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1d881481908ef5a6614246ca1e completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76beb3de48190bcb07a7bb4282d69 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.