Triple

T9018848
Position Surface form Disambiguated ID Type / Status
Subject Josephine E215661 entity
Predicate hasDiminutive P456 FINISHED
Object Posy
Posy is a diminutive form of the given name Josephine, often used as a cute or affectionate nickname.
 E717275 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: Posy | Statement: [Josephine, hasDiminutive, Posy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Posy
Context triple: [Josephine, hasDiminutive, Posy]
  • A. Posy
    Posy is a fictional character who is the daughter of time-traveling protagonist Tim Lake in the romantic comedy film "About Time."
  • B. Poosh
    Poosh is Kourtney Kardashian’s lifestyle and wellness brand and content platform, featuring advice, products, and curated recommendations on beauty, health, and living.
  • C. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • D. Poppy Papava
    Poppy Papava is a fictional character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • E. Poots
    Poots is the surname of Imogen Poots, an English actress known for her roles in films such as "28 Weeks Later" and "Green Room."
  • 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: Posy
Triple: [Josephine, hasDiminutive, Posy]
Generated description
Posy is a diminutive form of the given name Josephine, often used as a cute or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Posy
Target entity description: Posy is a diminutive form of the given name Josephine, often used as a cute or affectionate nickname.
  • A. Posy chosen
    Posy is a fictional character who is the daughter of time-traveling protagonist Tim Lake in the romantic comedy film "About Time."
  • B. Poosh
    Poosh is Kourtney Kardashian’s lifestyle and wellness brand and content platform, featuring advice, products, and curated recommendations on beauty, health, and living.
  • C. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • D. Poppy Papava
    Poppy Papava is a fictional character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • E. Poots
    Poots is the surname of Imogen Poots, an English actress known for her roles in films such as "28 Weeks Later" and "Green Room."
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a4085848190a6aa440e6307e93d completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbaf7be081908738ef9a9a17a77b completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdd06e9cc8190a1df43556d91779d completed April 3, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69cfdda4bf048190bc054fe9b1dcc98d completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:07 p.m.