Triple

T2704457
Position Surface form Disambiguated ID Type / Status
Subject Cass Sunstein E59309 entity
Predicate givenName P17 FINISHED
Object Cass
Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
 E290289 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: Cass | Statement: [Cass Sunstein, givenName, Cass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cass
Context triple: [Cass Sunstein, givenName, Cass]
  • A. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • B. Cassidy
    "Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
  • C. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • D. Cassandra
    Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
  • E. Cory
    Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
  • 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: Cass
Triple: [Cass Sunstein, givenName, Cass]
Generated description
Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cass
Target entity description: Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
  • A. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • B. Cassidy
    "Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
  • C. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • D. Cassandra
    Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
  • E. Cory
    Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda518c58819096c8b67c0f754655 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf79c8648190a9041dd2903a1429 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb002b86881909401e1bec24b76bf completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb0e906f88190b182cbfe81122eed completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:55 p.m.