Triple

T522913
Position Surface form Disambiguated ID Type / Status
Subject Think Like a Man E10856 entity
Predicate mainCharacter P1183 FINISHED
Object Cedric
Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
E74962 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: Cedric | Statement: [Think Like a Man, mainCharacter, Cedric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedric
Context triple: [Think Like a Man, mainCharacter, Cedric]
  • A. Cedric Maxwell
    Cedric Maxwell is a former NBA forward best known for his key role in the Boston Celtics’ 1981 and 1984 championship teams and for earning the 1981 NBA Finals MVP award.
  • B. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • C. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Bernard
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • 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: Cedric
Triple: [Think Like a Man, mainCharacter, Cedric]
Generated description
Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cedric
Target entity description: Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
  • A. Cedric Maxwell
    Cedric Maxwell is a former NBA forward best known for his key role in the Boston Celtics’ 1981 and 1984 championship teams and for earning the 1981 NBA Finals MVP award.
  • B. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • C. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Bernard
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f31b5a88190b39b678229ce83a3 completed March 2, 2026, 5:25 a.m.
NEDg Description generation batch_69a5201c3f188190819279e37c583f19 completed March 2, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_69a520be351081908a70bdfea5560a38 completed March 2, 2026, 5:31 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.