Triple

T21994245
Position Surface form Disambiguated ID Type / Status
Subject Made for Love E543162 entity
Predicate character P662 FINISHED
Object Fiffany
Fiffany is a brilliant yet morally conflicted scientist in the dark comedy series "Made for Love," working on cutting-edge but invasive technology for the Gogol corporation.
 E1512590 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: Fiffany | Statement: [Made for Love, character, Fiffany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fiffany
Context triple: [Made for Love, character, Fiffany]
  • A. Melfina
    Melfina is a mysterious bio-android and key crew member of the spaceship Outlaw Star in the anime series of the same name.
  • B. Trevalyn
    Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
  • C. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • D. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • E. Tifanie
    Tifanie is a given name, typically a feminine variant of the name Tiffany.
  • 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: Fiffany
Triple: [Made for Love, character, Fiffany]
Generated description
Fiffany is a brilliant yet morally conflicted scientist in the dark comedy series "Made for Love," working on cutting-edge but invasive technology for the Gogol corporation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fiffany
Target entity description: Fiffany is a brilliant yet morally conflicted scientist in the dark comedy series "Made for Love," working on cutting-edge but invasive technology for the Gogol corporation.
  • A. Melfina
    Melfina is a mysterious bio-android and key crew member of the spaceship Outlaw Star in the anime series of the same name.
  • B. Trevalyn
    Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
  • C. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • D. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • E. Tifanie
    Tifanie is a given name, typically a feminine variant of the name Tiffany.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d85f104819088dba8d0bf347fbe completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e556f3c8190927d1c0cba23463c completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6f3de2e88190824c9cc266c7ee8c completed May 18, 2026, 1:45 a.m.
Created at: April 16, 2026, 8:17 p.m.