Triple

T1371535
Position Surface form Disambiguated ID Type / Status
Subject Greyhound Hall of Fame E30121 entity
Predicate hasNotableInductee P304 FINISHED
Object Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
 E158374 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: Keefer | Statement: [Greyhound Hall of Fame, hasNotableInductee, Keefer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keefer
Context triple: [Greyhound Hall of Fame, hasNotableInductee, Keefer]
  • A. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • B. Finley
    Finley is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and irrigation-based farming.
  • C. Kurt Buckman
    Kurt Buckman is one of the three beleaguered friends in the dark comedy film "Horrible Bosses," known for plotting to kill his abusive employer alongside his equally frustrated coworkers.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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: Keefer
Triple: [Greyhound Hall of Fame, hasNotableInductee, Keefer]
Generated description
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keefer
Target entity description: Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • A. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • B. Finley
    Finley is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and irrigation-based farming.
  • C. Kurt Buckman
    Kurt Buckman is one of the three beleaguered friends in the dark comedy film "Horrible Bosses," known for plotting to kill his abusive employer alongside his equally frustrated coworkers.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f314c081909c0ab80397d96abb completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd481de608190bed1dc385209320e completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd6a03b70819096bdf7ec3b447756 completed March 8, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69acd71971448190940136b8a44040be completed March 8, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:57 p.m.