Triple
T4412262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godolphin Racing |
E94876
|
entity |
| Predicate | hasNotableHorse |
P55479
|
FINISHED |
| Object |
Masar
Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
|
E438809
|
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: Masar | Statement: [Godolphin Racing, hasNotableHorse, Masar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masar Context triple: [Godolphin Racing, hasNotableHorse, Masar]
-
A.
Masass
Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
-
B.
Maaskant
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
-
C.
Maras
Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
-
D.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
E.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
- 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: Masar Triple: [Godolphin Racing, hasNotableHorse, Masar]
Generated description
Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masar Target entity description: Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
-
A.
Masass
Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
-
B.
Maaskant
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
-
C.
Maras
Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
-
D.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
E.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35640269c8190a88fc6b59070561b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f6131de08190968259a0be73cd3f |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f76c8ea08190a6f6c81f0c3dcea7 |
completed | March 15, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7e313f48190afb83123e3b24926 |
completed | March 15, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:29 p.m.