Triple

T12758431
Position Surface form Disambiguated ID Type / Status
Subject Joss Christensen E304921 entity
Predicate givenName P17 FINISHED
Object Joss
Joss is a masculine given name, often used as a short form of names like Joseph or Jocelyn.
E180566 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: Joss | Statement: [Joss Christensen, givenName, Joss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joss
Context triple: [Joss Christensen, givenName, Joss]
  • A. Joss
    Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
  • B. Jory
    Jory is a fictional character appearing in Émile Zola’s novel "L’Œuvre," part of his Rougon-Macquart series exploring art, ambition, and society in 19th-century France.
  • C. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • D. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • E. Joner
    "Joner" is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, experimental language and exploration of identity and perception.
  • 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: Joss
Triple: [Joss Christensen, givenName, Joss]
Generated description
Joss is a masculine given name, often used as a short form of names like Joseph or Jocelyn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joss
Target entity description: Joss is a masculine given name, often used as a short form of names like Joseph or Jocelyn.
  • A. Joss chosen
    Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
  • B. Jory
    Jory is a fictional character appearing in Émile Zola’s novel "L’Œuvre," part of his Rougon-Macquart series exploring art, ambition, and society in 19th-century France.
  • C. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • D. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • E. Joner
    "Joner" is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, experimental language and exploration of identity and perception.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:27 p.m.