Triple

T14585300
Position Surface form Disambiguated ID Type / Status
Subject Toby Huss E342298 entity
Predicate familyName P18 FINISHED
Object Huss
Huss is a surname most notably associated with American actor Toby Huss, known for his character roles in film and television.
 E1107902 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: Huss | Statement: [Toby Huss, familyName, Huss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huss
Context triple: [Toby Huss, familyName, Huss]
  • A. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • B. Hazelius
    Hazelius is a Swedish surname most notably borne by Artur Hazelius, the educator and folklorist who founded Stockholm’s Nordic Museum and Skansen open-air museum.
  • C. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • D. Hájek
    Hájek is a Czech surname borne by numerous notable figures in fields such as politics, science, and the arts.
  • E. Huslia
    Huslia is a small, predominantly Koyukon Athabascan village in interior Alaska known for its subsistence lifestyle and dog mushing heritage.
  • 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: Huss
Triple: [Toby Huss, familyName, Huss]
Generated description
Huss is a surname most notably associated with American actor Toby Huss, known for his character roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huss
Target entity description: Huss is a surname most notably associated with American actor Toby Huss, known for his character roles in film and television.
  • A. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • B. Hazelius
    Hazelius is a Swedish surname most notably borne by Artur Hazelius, the educator and folklorist who founded Stockholm’s Nordic Museum and Skansen open-air museum.
  • C. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • D. Hájek
    Hájek is a Czech surname borne by numerous notable figures in fields such as politics, science, and the arts.
  • E. Huslia
    Huslia is a small, predominantly Koyukon Athabascan village in interior Alaska known for its subsistence lifestyle and dog mushing heritage.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bef27481908c108110dbf21780 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd95a852b88190a1daf0109ef3231e completed May 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd968b01848190b3986bde6015feb4 completed May 8, 2026, 7:53 a.m.
Created at: April 10, 2026, 1:24 a.m.