Triple

T14893692
Position Surface form Disambiguated ID Type / Status
Subject Fred Haney E359814 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 Haney, givenName, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred
Context triple: [Fred Haney, givenName, Fred]
  • A. Fred
    Fred is the son of Fred Trump Jr. and the nephew of former U.S. President Donald Trump.
  • B. Fred
    Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • 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 Haney, 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 chosen
    Fred is a masculine given name commonly used in English-speaking countries, often as a short form of Frederick or Alfred.
  • B. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • C. 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.
  • 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 a Swedish surname most notably borne by actress Gunnel Fred.
  • F. None of above.

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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b11584819084f32516cb0023a1 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe73ee0da48190b8909009e0dc517b completed May 8, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe748da7948190b7253b9dc09ae9fa completed May 8, 2026, 11:41 p.m.
Created at: April 10, 2026, 2:10 a.m.