Triple

T7289118
Position Surface form Disambiguated ID Type / Status
Subject Sam & Cat E163946 entity
Predicate notableCastMember P7010 FINISHED
Object Zoran Korach
Zoran Korach is an American actor best known for his comedic television roles, including recurring parts on Nickelodeon and other network series.
E653086 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: Zoran Korach | Statement: [Sam & Cat, notableCastMember, Zoran Korach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoran Korach
Context triple: [Sam & Cat, notableCastMember, Zoran Korach]
  • A. Zunka Bhakri
    Zunka Bhakri is a traditional Maharashtrian meal consisting of a spicy gram-flour-based dry curry (zunka) served with a rustic sorghum or millet flatbread (bhakri).
  • B. Gojko Šušak
    Gojko Šušak was a Croatian politician and wartime Minister of Defence who played a key role in leading Croatia’s military efforts during the Croatian War of Independence.
  • C. Beni Zmenzer
    Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
  • D. Željko
    Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
  • E. Shimon Lankri
    Shimon Lankri is an Israeli politician who has served as the long-time mayor of the coastal city of Akko (Acre).
  • 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: Zoran Korach
Triple: [Sam & Cat, notableCastMember, Zoran Korach]
Generated description
Zoran Korach is an American actor best known for his comedic television roles, including recurring parts on Nickelodeon and other network series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zoran Korach
Target entity description: Zoran Korach is an American actor best known for his comedic television roles, including recurring parts on Nickelodeon and other network series.
  • A. Zunka Bhakri
    Zunka Bhakri is a traditional Maharashtrian meal consisting of a spicy gram-flour-based dry curry (zunka) served with a rustic sorghum or millet flatbread (bhakri).
  • B. Gojko Šušak
    Gojko Šušak was a Croatian politician and wartime Minister of Defence who played a key role in leading Croatia’s military efforts during the Croatian War of Independence.
  • C. Beni Zmenzer
    Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
  • D. Željko
    Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
  • E. Shimon Lankri
    Shimon Lankri is an Israeli politician who has served as the long-time mayor of the coastal city of Akko (Acre).
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6bde448190b52852c916a8059d completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4671e08190874d5e099e883509 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbc1ff0c8190bc7639a74a5d3af3 completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6af4b08190be165856d216f2ae completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 3 p.m.