Triple

T15494948
Position Surface form Disambiguated ID Type / Status
Subject Faifi E378792 entity
Predicate hasAlternativeName P39 FINISHED
Object Fifi E30858 NE FINISHED

How this triple was built (2 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: Fifi | Statement: [Faifi, hasAlternativeName, Fifi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fifi
Context triple: [Faifi, hasAlternativeName, Fifi]
  • A. Fifi chosen
    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.
  • B. Fifi
    Fifi is a diminutive or affectionate nickname commonly used for the given name Josephine.
  • 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. Fifi La Fume
    Fifi La Fume is a skunk cartoon character from Tiny Toon Adventures, known for her romantic obsession with love and her parody of Pepé Le Pew.
  • E. Loulou
    Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3662f3388190b75ffe3ce418f36d completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:51 a.m.