Triple

T21688918
Position Surface form Disambiguated ID Type / Status
Subject Michelle E535305 entity
Predicate hasDiminutive P456 FINISHED
Object Chelle
Chelle is a shortened, informal given name commonly used as a nickname for Michelle.
E1497009 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: Chelle | Statement: [Michelle, hasDiminutive, Chelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelle
Context triple: [Michelle, hasDiminutive, Chelle]
  • A. Channah
    Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
  • B. Chreli Abano
    Chreli Abano is a historic, ornately decorated public sulfur bathhouse in Tbilisi’s Abanotubani district, known for its distinctive brick domes and Persian-style façade.
  • C. Caila
    Caila is an alternate given name associated with American actress and producer Marsai Martin.
  • D. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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: Chelle
Triple: [Michelle, hasDiminutive, Chelle]
Generated description
Chelle is a shortened, informal given name commonly used as a nickname for Michelle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chelle
Target entity description: Chelle is a shortened, informal given name commonly used as a nickname for Michelle.
  • A. Channah
    Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
  • B. Chreli Abano
    Chreli Abano is a historic, ornately decorated public sulfur bathhouse in Tbilisi’s Abanotubani district, known for its distinctive brick domes and Persian-style façade.
  • C. Caila
    Caila is an alternate given name associated with American actress and producer Marsai Martin.
  • D. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cd51d481908df67e4f69826b06 completed April 27, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e23a7308190bb36c101760e46dc completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1facb8a48190b61f8df03b38a939 completed May 17, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0a202f4c6c8190b46839b2edab7b60 completed May 17, 2026, 8:08 p.m.
Created at: April 16, 2026, 6:44 p.m.