Triple

T11139934
Position Surface form Disambiguated ID Type / Status
Subject Hare family E263517 entity
Predicate hasFamilyName P18 FINISHED
Object Hare
Hare is a common English surname borne by various notable individuals across fields such as politics, religion, and the arts.
 E907504 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: Hare | Statement: [Hare family, hasFamilyName, Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hare
Context triple: [Hare family, hasFamilyName, Hare]
  • A. Rabbit
    Rabbit is a famous stainless-steel sculpture by Jeff Koons, celebrated as an iconic work of contemporary pop and conceptual art.
  • B. Rabbit
    Rabbit is a fussy, practical, and often bossy animal character from A. A. Milne’s Winnie-the-Pooh stories, known for trying to keep order in the Hundred Acre Wood.
  • C. Rabbit
    Rabbit Maranville was a Hall of Fame Major League Baseball shortstop known for his exceptional fielding, durability, and colorful personality in the early 20th century.
  • D. Rabbit
    Rabbit is a high-speed stream cipher designed for efficient software implementation, particularly suited for environments with limited resources.
  • E. Kanin
    Kanin is a surname most notably associated with American writer and director Garson Kanin.
  • 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: Hare
Triple: [Hare family, hasFamilyName, Hare]
Generated description
Hare is a common English surname borne by various notable individuals across fields such as politics, religion, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hare
Target entity description: Hare is a common English surname borne by various notable individuals across fields such as politics, religion, and the arts.
  • A. Rabbit
    Rabbit is a famous stainless-steel sculpture by Jeff Koons, celebrated as an iconic work of contemporary pop and conceptual art.
  • B. Rabbit
    Rabbit is a fussy, practical, and often bossy animal character from A. A. Milne’s Winnie-the-Pooh stories, known for trying to keep order in the Hundred Acre Wood.
  • C. Rabbit
    Rabbit Maranville was a Hall of Fame Major League Baseball shortstop known for his exceptional fielding, durability, and colorful personality in the early 20th century.
  • D. Rabbit
    Rabbit is a high-speed stream cipher designed for efficient software implementation, particularly suited for environments with limited resources.
  • E. Kanin
    Kanin is a surname most notably associated with American writer and director Garson Kanin.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e860ca408190bea461e115f04fd7 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4420c17788190b72ca616fd5345f8 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09dd5c8190bddf3dd109a639ba completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.