Triple

T5098692
Position Surface form Disambiguated ID Type / Status
Subject Camille E114928 entity
Predicate hasDiminutive P456 FINISHED
Object Cami
Cami is a diminutive or nickname commonly used for the given name Camille.
 E494827 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: Cami | Statement: [Camille, hasDiminutive, Cami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cami
Context triple: [Camille, hasDiminutive, Cami]
  • A. Celine
    Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
  • B. Clemie
    Clemie is a given name, typically used as a diminutive or variant of the name Clem.
  • C. Demi
    Demi is a fictional character from Louisa May Alcott’s novel "Jo's Boys," part of the continuation of the March family saga begun in "Little Women."
  • D. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • E. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • 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: Cami
Triple: [Camille, hasDiminutive, Cami]
Generated description
Cami is a diminutive or nickname commonly used for the given name Camille.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cami
Target entity description: Cami is a diminutive or nickname commonly used for the given name Camille.
  • A. Celine
    Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
  • B. Clemie
    Clemie is a given name, typically used as a diminutive or variant of the name Clem.
  • C. Demi
    Demi is a fictional character from Louisa May Alcott’s novel "Jo's Boys," part of the continuation of the March family saga begun in "Little Women."
  • D. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • E. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8529ec8190bb1e97eb1044c899 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebc65f37c819088077a02c5a2939e completed March 21, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_69bebcc8ad2481909ec38247b32dfdb0 completed March 21, 2026, 3:44 p.m.
Created at: March 20, 2026, 1:40 p.m.