Triple

T8527055
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Sidney E201843 entity
Predicate familyName P18 FINISHED
Object Kosow
Kosow is the birth surname of American actress Sylvia Sidney, who was known for her work in early Hollywood cinema and later character roles.
 E741866 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: Kosow | Statement: [Sylvia Sidney, familyName, Kosow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kosow
Context triple: [Sylvia Sidney, familyName, Kosow]
  • A. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • B. Kuroń
    Kuroń is a Polish surname most notably associated with Jacek Kuroń, a prominent dissident, social activist, and politician in communist and post-communist Poland.
  • C. Jordanów
    Jordanów is a small historic town in southern Poland, situated in the Lesser Poland region near the Beskid Mountains.
  • D. Karniow
    Karniow is the Polish name for the town of Jägerndorf, historically known as Krnov, in the Czech Republic.
  • E. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • 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: Kosow
Triple: [Sylvia Sidney, familyName, Kosow]
Generated description
Kosow is the birth surname of American actress Sylvia Sidney, who was known for her work in early Hollywood cinema and later character roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kosow
Target entity description: Kosow is the birth surname of American actress Sylvia Sidney, who was known for her work in early Hollywood cinema and later character roles.
  • A. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • B. Kuroń
    Kuroń is a Polish surname most notably associated with Jacek Kuroń, a prominent dissident, social activist, and politician in communist and post-communist Poland.
  • C. Jordanów
    Jordanów is a small historic town in southern Poland, situated in the Lesser Poland region near the Beskid Mountains.
  • D. Karniow
    Karniow is the Polish name for the town of Jägerndorf, historically known as Krnov, in the Czech Republic.
  • E. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:16 p.m.