Triple

T21075932
Position Surface form Disambiguated ID Type / Status
Subject ICT 1301 E519233 entity
Predicate alsoKnownAs P39 FINISHED
Object Flossie
Flossie is the nickname of the ICT 1301, a large early 1960s British mainframe computer preserved as a historic example of mid-20th-century computing technology.
E1465169 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: Flossie | Statement: [ICT 1301, alsoKnownAs, Flossie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flossie
Context triple: [ICT 1301, alsoKnownAs, Flossie]
  • A. Flossie
    Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
  • B. Fifi
    Fifi is a diminutive or affectionate nickname commonly used for the given name Josephine.
  • C. Fifi
    Fifi is the central character of the musical comedy "Mlle. Modiste," around whom the story’s romantic and comedic events revolve.
  • D. Fifi
    Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
  • E. Fifi
    Fifi is a white poodle from the Peanuts franchise, known as Snoopy’s love interest and fellow World War I Flying Ace.
  • 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: Flossie
Triple: [ICT 1301, alsoKnownAs, Flossie]
Generated description
Flossie is the nickname of the ICT 1301, a large early 1960s British mainframe computer preserved as a historic example of mid-20th-century computing technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flossie
Target entity description: Flossie is the nickname of the ICT 1301, a large early 1960s British mainframe computer preserved as a historic example of mid-20th-century computing technology.
  • A. Flossie
    Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
  • B. Fifi
    Fifi is a diminutive or affectionate nickname commonly used for the given name Josephine.
  • C. Fifi
    Fifi is the central character of the musical comedy "Mlle. Modiste," around whom the story’s romantic and comedic events revolve.
  • D. Fifi
    Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
  • E. Fifi
    Fifi is a white poodle from the Peanuts franchise, known as Snoopy’s love interest and fellow World War I Flying Ace.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d690dc8190839968b562e6b8bb completed April 21, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09507825d481908b65f43917c4d3cf completed May 17, 2026, 5:22 a.m.
NEDg Description generation batch_6a095314a2508190bceb0771c637aa0c completed May 17, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0953b95cfc8190abdaa75559d4813e completed May 17, 2026, 5:35 a.m.
Created at: April 16, 2026, 2:48 p.m.