Triple

T9997818
Position Surface form Disambiguated ID Type / Status
Subject Karel Roden E197247 entity
Predicate familyName P18 FINISHED
Object Roden
Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
 E833703 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: Roden | Statement: [Karel Roden, familyName, Roden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roden
Context triple: [Karel Roden, familyName, Roden]
  • A. Roden
    Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • D. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • E. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • 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: Roden
Triple: [Karel Roden, familyName, Roden]
Generated description
Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roden
Target entity description: Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
  • A. Roden
    Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • D. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • E. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258439fe88190b17da69f542ecf61 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d259701e488190b288c9f523a1ec87 completed April 5, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69d259da25e081909ac184f4fa80c57e completed April 5, 2026, 12:47 p.m.
Created at: March 30, 2026, 8:51 p.m.