Triple

T19469756
Position Surface form Disambiguated ID Type / Status
Subject Saturday E487089 entity
Predicate hasCharacter P2308 FINISHED
Object Baxter
Baxter is a character named in the work "Saturday," likely serving as part of its central cast or supporting ensemble.
E1378866 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: Baxter | Statement: [Saturday, hasCharacter, Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baxter
Context triple: [Saturday, hasCharacter, Baxter]
  • A. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. Baxter
    Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
  • D. Baxter
    Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
  • E. Baxter
    Baxter is a collaborative industrial robot developed by Rethink Robotics, designed to safely work alongside humans in manufacturing and research environments.
  • 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: Baxter
Triple: [Saturday, hasCharacter, Baxter]
Generated description
Baxter is a character named in the work "Saturday," likely serving as part of its central cast or supporting ensemble.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baxter
Target entity description: Baxter is a character named in the work "Saturday," likely serving as part of its central cast or supporting ensemble.
  • A. Baxter
    Baxter is the central protagonist of the British television series "Mad Dogs," around whom the show's darkly comic crime-driven plot revolves.
  • B. Baxter
    Baxter is a musical act known for its association with the hardcore band The Killing Tree.
  • C. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • D. Baxter
    Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
  • E. Baxter
    Baxter is a small city in central Minnesota known for its retail centers, proximity to Brainerd, and access to lakes and outdoor recreation.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e6fd988190b79be580b65746fe completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07404dfcb881909ed1a7ac20b6461e completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a0740ff37fc81908e68db633223fb9c completed May 15, 2026, 3:51 p.m.
NED2 Entity disambiguation (via description) batch_6a07424880e08190a582da18e3a6af19 completed May 15, 2026, 3:56 p.m.
Created at: April 10, 2026, 1:39 p.m.