Triple

T14275066
Position Surface form Disambiguated ID Type / Status
Subject Dot Cotton E353893 entity
Predicate alsoKnownAs P39 FINISHED
Object Dot
Dot is the nickname of Dot Cotton, a long-running and iconic character from the British soap opera "EastEnders."
E1090540 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: Dot | Statement: [Dot Cotton, alsoKnownAs, Dot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dot
Context triple: [Dot Cotton, alsoKnownAs, Dot]
  • A. Dot
    Dot is a character or entity connected to Francis, likely appearing in the same narrative, project, or creative work.
  • B. Dot
    Dot is a central character in Stephen Sondheim and James Lapine’s musical "Sunday in the Park with George," serving as Georges Seurat’s muse and lover and embodying themes of art, sacrifice, and personal fulfillment.
  • C. Dot
    Dot is a stage play by Colman Domingo that explores family dynamics and the challenges of caring for a matriarch with dementia during the holidays.
  • D. Dot
    Dot is a short animated film created by Aardman Animations that follows a tiny girl navigating a giant, rapidly unraveling world, notable for its innovative use of stop-motion and mobile phone camera technology.
  • E. Dot
    Dot is a work created by the developer known as Dev, likely a project or creative piece bearing that title.
  • 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: Dot
Triple: [Dot Cotton, alsoKnownAs, Dot]
Generated description
Dot is the nickname of Dot Cotton, a long-running and iconic character from the British soap opera "EastEnders."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dot
Target entity description: Dot is the nickname of Dot Cotton, a long-running and iconic character from the British soap opera "EastEnders."
  • A. Dot
    Dot is a central character in Stephen Sondheim and James Lapine’s musical "Sunday in the Park with George," serving as Georges Seurat’s muse and lover and embodying themes of art, sacrifice, and personal fulfillment.
  • B. Dot
    Dot is a work created by the developer known as Dev, likely a project or creative piece bearing that title.
  • C. Dot
    Dot is a character or entity connected to Francis, likely appearing in the same narrative, project, or creative work.
  • D. Dot
    Dot is a short animated film created by Aardman Animations that follows a tiny girl navigating a giant, rapidly unraveling world, notable for its innovative use of stop-motion and mobile phone camera technology.
  • E. Dot
    Dot is a young, adventurous ant princess from Pixar's animated film "A Bug's Life."
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326d35808190bbf3f6bbc50554f4 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd372c49d88190ad76477d24e48d59 completed May 8, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd379feff081908a74d12782bedbee completed May 8, 2026, 1:08 a.m.
Created at: April 10, 2026, 1:10 a.m.