Triple

T13498896
Position Surface form Disambiguated ID Type / Status
Subject Arliss Coates E320832 entity
Predicate givenName P17 FINISHED
Object Arliss
Arliss is a given name used by various individuals, including Arliss Coates.
 E323853 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: Arliss | Statement: [Arliss Coates, givenName, Arliss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arliss
Context triple: [Arliss Coates, givenName, Arliss]
  • A. Arliss
    "Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
  • B. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • C. Arley
    Arley is a small rural town located in Winston County in the U.S. state of Alabama.
  • D. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • E. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • 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: Arliss
Triple: [Arliss Coates, givenName, Arliss]
Generated description
Arliss is a given name used by various individuals, including Arliss Coates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arliss
Target entity description: Arliss is a given name used by various individuals, including Arliss Coates.
  • A. Arliss chosen
    "Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
  • B. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • C. Arley
    Arley is a small rural town located in Winston County in the U.S. state of Alabama.
  • D. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • E. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • F. None of above.

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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75485af6c8190a43ccab5449f5014 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7553b5074819094d2781cc59aab16 completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f755f907048190aa057fa92071fac5 completed May 3, 2026, 2:04 p.m.
Created at: April 9, 2026, 9:43 p.m.