Triple

T7905910
Position Surface form Disambiguated ID Type / Status
Subject Steve Carell E183574 entity
Predicate familyName P18 FINISHED
Object Carell
Carell is the surname of American actor and comedian Steve Carell, best known for his role as Michael Scott on the U.S. version of "The Office."
 E700682 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: Carell | Statement: [Steve Carell, familyName, Carell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carell
Context triple: [Steve Carell, familyName, Carell]
  • A. Karli
    Karli is a diminutive form of the given name Karl, commonly used as an affectionate or informal variant.
  • B. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • C. Astin
    Astin is the surname of American actor and filmmaker Sean Astin, known for roles in films such as "The Goonies," "Rudy," and "The Lord of the Rings" trilogy.
  • D. Bix Caleen
    Bix Caleen is a resourceful mechanic and black-market dealer from the Star Wars series "Andor," known for her close ties to Cassian Andor and involvement in early Rebel activities.
  • E. Chaville
    Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
  • 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: Carell
Triple: [Steve Carell, familyName, Carell]
Generated description
Carell is the surname of American actor and comedian Steve Carell, best known for his role as Michael Scott on the U.S. version of "The Office."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carell
Target entity description: Carell is the surname of American actor and comedian Steve Carell, best known for his role as Michael Scott on the U.S. version of "The Office."
  • A. Karli
    Karli is a diminutive form of the given name Karl, commonly used as an affectionate or informal variant.
  • B. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • C. Astin
    Astin is the surname of American actor and filmmaker Sean Astin, known for roles in films such as "The Goonies," "Rudy," and "The Lord of the Rings" trilogy.
  • D. Bix Caleen
    Bix Caleen is a resourceful mechanic and black-market dealer from the Star Wars series "Andor," known for her close ties to Cassian Andor and involvement in early Rebel activities.
  • E. Chaville
    Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a56c9f0819094dc87fe55a8823e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bc9dfa88190aa5261bdf44823ab completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb7632cbbc819087107c8d2172a038 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb64eee408190a66cbd0cba3054b4 completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 5:03 p.m.