Triple

T14702495
Position Surface form Disambiguated ID Type / Status
Subject Mac Ahlberg E345339 entity
Predicate workedOn P3 FINISHED
Object Flossie
Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
 E1115741 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: [Mac Ahlberg, workedOn, Flossie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flossie
Context triple: [Mac Ahlberg, workedOn, Flossie]
  • A. Fifi
    Fifi is a diminutive or affectionate nickname commonly used for the given name Josephine.
  • B. 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.
  • C. Fifi
    Fifi is a white poodle from the Peanuts franchise, known as Snoopy’s love interest and fellow World War I Flying Ace.
  • D. Mopsy
    Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
  • E. Yum-Yum
    Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
  • 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: [Mac Ahlberg, workedOn, Flossie]
Generated description
Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flossie
Target entity description: Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
  • A. Fifi
    Fifi is a diminutive or affectionate nickname commonly used for the given name Josephine.
  • B. 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.
  • C. Fifi
    Fifi is a white poodle from the Peanuts franchise, known as Snoopy’s love interest and fellow World War I Flying Ace.
  • D. Mopsy
    Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
  • E. Yum-Yum
    Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0861c308190af0b5da403ecb321 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf368782c8190825247435eab2045 completed May 8, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69fdf3fe50ac8190ad5529427472eda3 completed May 8, 2026, 2:32 p.m.
Created at: April 10, 2026, 1:28 a.m.