Triple
T4412802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curlin |
E94889
|
entity |
| Predicate | careerEarningsStatus |
P2987
|
FINISHED |
| Object | one of the highest-earning North American racehorses of all time |
—
|
LITERAL FINISHED |
How this triple was built (2 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: one of the highest-earning North American racehorses of all time | Statement: [Curlin, careerEarningsStatus, one of the highest-earning North American racehorses of all time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerEarningsStatus Context triple: [Curlin, careerEarningsStatus, one of the highest-earning North American racehorses of all time]
-
A.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
B.
requiresEarnedIncome
Indicates that something is conditional upon an individual or entity having earned income, such as wages or salary, in order to qualify or apply.
-
C.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
-
D.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
E.
businessCareer
Indicates a relationship where an entity’s professional life, roles, or progression is specifically within the field of business or commerce.
- F. None of above.
Provenance (3 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_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.