Triple

T3352260
Position Surface form Disambiguated ID Type / Status
Subject Clover Moore E70522 entity
Predicate givenName P17 FINISHED
Object Clover
Clover is a feminine given name most prominently associated with Australian politician and long-serving Lord Mayor of Sydney, Clover Moore.
E352013 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: Clover | Statement: [Clover Moore, givenName, Clover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clover
Context triple: [Clover Moore, givenName, Clover]
  • A. Bramble
    Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
  • B. Bracken
    Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
  • C. Flora
    Flora is a symbolist painting by Evelyn De Morgan depicting the Roman goddess of flowers and spring in a richly allegorical, Pre-Raphaelite-inspired style.
  • D. Flora
    Flora is the middle name of Ruth Disney, the daughter of Walt Disney and his wife Lillian.
  • E. Flora
    Flora is one of the three good fairies in Disney's "Sleeping Beauty," known for her red attire, leadership among the fairies, and role in protecting Princess Aurora.
  • 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: Clover
Triple: [Clover Moore, givenName, Clover]
Generated description
Clover is a feminine given name most prominently associated with Australian politician and long-serving Lord Mayor of Sydney, Clover Moore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clover
Target entity description: Clover is a feminine given name most prominently associated with Australian politician and long-serving Lord Mayor of Sydney, Clover Moore.
  • A. Bramble
    Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
  • B. Bracken
    Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
  • C. Flora
    Flora is a symbolist painting by Evelyn De Morgan depicting the Roman goddess of flowers and spring in a richly allegorical, Pre-Raphaelite-inspired style.
  • D. Flora
    Flora is the young niece in Henry James's novella "The Turn of the Screw," whose eerie innocence and ambiguous relationship to the supernatural are central to the story's psychological horror.
  • E. Flora
    Flora is the middle name of Ruth Disney, the daughter of Walt Disney and his wife Lillian.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32532ebd08190bf174d72fba89a75 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b328f5e6ac8190935f88e2b7307147 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b32ca6aa4481908b044b07b6d2e529 completed March 12, 2026, 9:14 p.m.
Created at: March 8, 2026, 3:12 p.m.