Triple
T17933154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mill Reef |
E448384
|
entity |
| Predicate | damsire |
P56417
|
FINISHED |
| Object |
Princequillo
Princequillo was a highly influential Thoroughbred racehorse and sire, renowned for passing on exceptional stamina and soundness to many leading bloodlines.
|
E1296424
|
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: Princequillo | Statement: [Mill Reef, damsire, Princequillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princequillo Context triple: [Mill Reef, damsire, Princequillo]
-
A.
Príncep
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
-
B.
Prinze
Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
-
C.
Infanta
Infanta is a coastal municipality in the province of Quezon, Philippines, known as a local commercial hub and gateway to the Pacific seaboard.
-
D.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
E.
Príncipe
Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
- 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: Princequillo Triple: [Mill Reef, damsire, Princequillo]
Generated description
Princequillo was a highly influential Thoroughbred racehorse and sire, renowned for passing on exceptional stamina and soundness to many leading bloodlines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Princequillo Target entity description: Princequillo was a highly influential Thoroughbred racehorse and sire, renowned for passing on exceptional stamina and soundness to many leading bloodlines.
-
A.
Príncep
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
-
B.
Prinze
Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
-
C.
Infanta
Infanta is a coastal municipality in the province of Quezon, Philippines, known as a local commercial hub and gateway to the Pacific seaboard.
-
D.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
E.
Príncipe
Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a55381708190b5dfce6a81bb20d8 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03213a24b48190aad2297210e86d78 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0322181a5c8190b34ea80445fc5596 |
completed | May 12, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0322a4c9448190823e9fdc03ea9f90 |
completed | May 12, 2026, 12:52 p.m. |
Created at: April 10, 2026, 10:21 a.m.