Triple

T4121630
Position Surface form Disambiguated ID Type / Status
Subject Michael Cera E92625 entity
Predicate familyName P18 FINISHED
Object Cera
Cera is the surname of Canadian actor Michael Cera, known for his roles in films like "Superbad" and the series "Arrested Development."
 E416073 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: Cera | Statement: [Michael Cera, familyName, Cera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cera
Context triple: [Michael Cera, familyName, Cera]
  • A. Caron
    Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
  • B. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • C. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Melissa
    Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
  • 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: Cera
Triple: [Michael Cera, familyName, Cera]
Generated description
Cera is the surname of Canadian actor Michael Cera, known for his roles in films like "Superbad" and the series "Arrested Development."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cera
Target entity description: Cera is the surname of Canadian actor Michael Cera, known for his roles in films like "Superbad" and the series "Arrested Development."
  • A. Caron
    Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
  • B. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • C. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Melissa
    Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020549dc8190a81a5dbbf70288c7 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b13cc881908fea25c686141546 completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577ac31888190b6182b00bd5c709f completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b57839ee548190804ef306fc9b3a6e completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:41 p.m.