Triple

T10889478
Position Surface form Disambiguated ID Type / Status
Subject Fred Rose E257137 entity
Predicate givenName P17 FINISHED
Object Fred
Fred is a masculine given name commonly used in English-speaking countries, often as a short form of Frederick or Alfred.
 E892115 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: Fred | Statement: [Fred Rose, givenName, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fred
Context triple: [Fred Rose, givenName, Fred]
  • A. Fred
    Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • B. Fred
    Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
  • C. Fred
    Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
  • D. Fred
    Fred is the given name of Fred J. Koenekamp, an American cinematographer known for his work on films such as "Patton" and "The Towering Inferno."
  • E. Fred
    Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
  • 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: Fred
Triple: [Fred Rose, givenName, Fred]
Generated description
Fred is a masculine given name commonly used in English-speaking countries, often as a short form of Frederick or Alfred.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fred
Target entity description: Fred is a masculine given name commonly used in English-speaking countries, often as a short form of Frederick or Alfred.
  • A. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • B. Fred
    Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
  • C. Fred
    Fred is the given name of Fred J. Koenekamp, an American cinematographer known for his work on films such as "Patton" and "The Towering Inferno."
  • D. Fred
    Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
  • E. Fred
    Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d752041e2c8190b513dc9dc5857fcc completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15500bb7881908b9799d7653aec72 completed April 16, 2026, 9:30 p.m.
NEDg Description generation batch_69e17d3060888190b3801272835b939a completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1806bc1048190bcbff6f6d3d7da19 completed April 17, 2026, 12:35 a.m.
Created at: April 8, 2026, 9:21 p.m.