Triple

T18319205
Position Surface form Disambiguated ID Type / Status
Subject Jonabell Farm E438824 entity
Predicate hasNotableStallion P55479 FINISHED
Object Maxfield
Maxfield is a Grade 1-winning American Thoroughbred racehorse known for his impressive performances on the track and subsequent career as a stallion.
E1317749 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: Maxfield | Statement: [Jonabell Farm, hasNotableStallion, Maxfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxfield
Context triple: [Jonabell Farm, hasNotableStallion, Maxfield]
  • A. Maxfield
    Maxfield is a less common variant of the given name Maxwell, typically used as a masculine first or surname.
  • B. Maxfeld
    Maxfeld is an underground station on the Nuremberg U-Bahn rapid transit network in Nuremberg, Germany.
  • C. Maxcy
    Maxcy is a masculine given name most notably borne by American lawyer, planter, and Confederate brigadier general Maxcy Gregg.
  • D. Max-D
    Max-D is a famous Monster Jam freestyle and racing monster truck known for its spiked body, aggressive design, and high-flying stunts.
  • E. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • 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: Maxfield
Triple: [Jonabell Farm, hasNotableStallion, Maxfield]
Generated description
Maxfield is a Grade 1-winning American Thoroughbred racehorse known for his impressive performances on the track and subsequent career as a stallion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maxfield
Target entity description: Maxfield is a Grade 1-winning American Thoroughbred racehorse known for his impressive performances on the track and subsequent career as a stallion.
  • A. Maxfield
    Maxfield is a less common variant of the given name Maxwell, typically used as a masculine first or surname.
  • B. Maxfeld
    Maxfeld is an underground station on the Nuremberg U-Bahn rapid transit network in Nuremberg, Germany.
  • C. Maxcy
    Maxcy is a masculine given name most notably borne by American lawyer, planter, and Confederate brigadier general Maxcy Gregg.
  • D. Max-D
    Max-D is a famous Monster Jam freestyle and racing monster truck known for its spiked body, aggressive design, and high-flying stunts.
  • E. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa4d3308190883714e1ef6a1d84 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c6094881909add4e2fe99a1bba completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c52d0ba48190845d461df02c3aa3 completed May 13, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_6a03c5dd07488190ae04c6b406ab29c9 completed May 13, 2026, 12:29 a.m.
Created at: April 10, 2026, 10:36 a.m.