Triple

T17073327
Position Surface form Disambiguated ID Type / Status
Subject Susan Kohner E414276 entity
Predicate notableWork P4 FINISHED
Object Dino
"Dino" is a 1957 American drama film featuring Susan Kohner in a prominent role, centered on a troubled young man's struggle for redemption.
E1249550 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: Dino | Statement: [Susan Kohner, notableWork, Dino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dino
Context triple: [Susan Kohner, notableWork, Dino]
  • A. Dino
    Dino is the nickname and given name of American singer, actor, and comedian Dean Martin, a major entertainment star of the mid-20th century.
  • B. Dino
    Dino is the green cartoon dinosaur mascot of Sinclair Oil Corporation, widely recognized from the company’s gas stations and advertising.
  • C. Dino
    Dino is a South Korean singer, rapper, and main dancer best known as the youngest member of the K-pop boy group Seventeen.
  • D. Dino
    Dino is a masculine given name of Italian origin, commonly used as a short form of names like Bernardino or Gherardino.
  • E. Dino
    Dino is the lovable, dinosaur-like family pet of the Flintstones in the classic animated television series "The Flintstones."
  • 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: Dino
Triple: [Susan Kohner, notableWork, Dino]
Generated description
"Dino" is a 1957 American drama film featuring Susan Kohner in a prominent role, centered on a troubled young man's struggle for redemption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dino
Target entity description: "Dino" is a 1957 American drama film featuring Susan Kohner in a prominent role, centered on a troubled young man's struggle for redemption.
  • A. Dino
    Dino is the nickname and given name of American singer, actor, and comedian Dean Martin, a major entertainment star of the mid-20th century.
  • B. Dino
    Dino is a South Korean singer, rapper, and main dancer best known as the youngest member of the K-pop boy group Seventeen.
  • C. Dino
    Dino is a masculine given name of Italian origin, commonly used as a short form of names like Bernardino or Gherardino.
  • D. Dino
    Dino is the green cartoon dinosaur mascot of Sinclair Oil Corporation, widely recognized from the company’s gas stations and advertising.
  • E. Dino
    Dino is the lovable, dinosaur-like family pet of the Flintstones in the classic animated television series "The Flintstones."
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c2ad9881909d8a8b64ebb59aa6 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:34 a.m.