Triple
T18320345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Strike |
E438858
|
entity |
| Predicate | damsire |
P56417
|
FINISHED |
| Object |
Smarten
Smarten was an American Thoroughbred racehorse and successful sire known for producing multiple stakes winners.
|
E1317821
|
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: Smarten | Statement: [Smart Strike, damsire, Smarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smarten Context triple: [Smart Strike, damsire, Smarten]
-
A.
SMART
SMART is a commuter rail service operating in California’s Sonoma and Marin counties, providing passenger transportation along the North Bay corridor.
-
B.
SMART
SMART is the primary public bus transit system serving the suburban communities of the Detroit metropolitan area in Michigan.
-
C.
SMART
SMART (South Metro Area Regional Transit) is a public transportation agency serving the southern Portland metropolitan area in Oregon with bus and transit services.
-
D.
Smart
Smart is a surname most prominently associated in sports with Shaka Smart, a successful American college basketball coach.
-
E.
smart
smart is an automotive marque best known for its compact city cars and microcars, originally developed in partnership with Swatch and later owned by Mercedes-Benz.
- 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: Smarten Triple: [Smart Strike, damsire, Smarten]
Generated description
Smarten was an American Thoroughbred racehorse and successful sire known for producing multiple stakes winners.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smarten Target entity description: Smarten was an American Thoroughbred racehorse and successful sire known for producing multiple stakes winners.
-
A.
SMART
SMART is a commuter rail service operating in California’s Sonoma and Marin counties, providing passenger transportation along the North Bay corridor.
-
B.
SMART
SMART (South Metro Area Regional Transit) is a public transportation agency serving the southern Portland metropolitan area in Oregon with bus and transit services.
-
C.
SMART
SMART is the primary public bus transit system serving the suburban communities of the Detroit metropolitan area in Michigan.
-
D.
Smart
Smart is a surname most prominently associated in sports with Shaka Smart, a successful American college basketball coach.
-
E.
smart
smart is an automotive marque best known for its compact city cars and microcars, originally developed in partnership with Swatch and later owned by Mercedes-Benz.
- 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_69e50aa5a3508190a3025e71c11d79e2 |
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.