Triple

T19165993
Position Surface form Disambiguated ID Type / Status
Subject Clare E. Connors E469181 entity
Predicate givenName P17 FINISHED
Object Clare
Clare is a feminine given name of Latin origin, commonly used in English-speaking countries.
 E1099978 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: Clare | Statement: [Clare E. Connors, givenName, Clare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clare
Context triple: [Clare E. Connors, givenName, Clare]
  • A. Clare
    Clare is a central character in Ali Smith’s novel "Hotel World," whose story explores themes of mortality, memory, and interconnected lives.
  • B. Clare
    Clare is a small town in South Australia that serves as the main service and tourism hub for the surrounding Clare Valley wine region.
  • C. Clare
    Clare is a historic market town and civil parish in Suffolk, England, known for its medieval architecture and picturesque countryside setting.
  • D. Clare
    Clare is a given name commonly used as a shortened or familiar form of the name Clarence.
  • E. Clare
    Clare is a predominantly Acadian municipality in southwestern Nova Scotia known for its strong French-speaking heritage and coastal communities.
  • 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: Clare
Triple: [Clare E. Connors, givenName, Clare]
Generated description
Clare is a feminine given name of Latin origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clare
Target entity description: Clare is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • A. Clare chosen
    Clare is a feminine given name of Latin origin, often associated with clarity and brightness and borne by notable figures such as playwright and politician Clare Boothe Luce.
  • B. Clare
    Clare is a given name commonly used as a shortened or familiar form of the name Clarence.
  • C. Clare
    Clare is a predominantly Acadian municipality in southwestern Nova Scotia known for its strong French-speaking heritage and coastal communities.
  • D. Clare
    Clare is a historic market town and civil parish in Suffolk, England, known for its medieval architecture and picturesque countryside setting.
  • E. Clare
    Clare is a small town in South Australia that serves as the main service and tourism hub for the surrounding Clare Valley wine region.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15ee064819087f9fd822236298f completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f261bed48190838b5cb99a01b4f2 completed May 15, 2026, 10:16 a.m.
NEDg Description generation batch_6a06f338f504819081daeef10e629afd completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4199a588190943d3d45536a228c completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.