Triple
T36988248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classic Empire |
E915022
|
entity |
| Predicate | enteredIn |
P189493
|
FINISHED |
| Object | 2017 Kentucky Derby |
—
|
NE NERFINISHED |
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: 2017 Kentucky Derby | Statement: [Classic Empire, enteredIn, 2017 Kentucky Derby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredIn Context triple: [Classic Empire, enteredIn, 2017 Kentucky Derby]
-
A.
enteredInto
Indicates that one entity has initiated or become formally involved in a particular state, agreement, relationship, or situation with another entity.
-
B.
enteredIntoBy
Indicates that an agreement, contract, or formal arrangement has been initiated or established by a particular party.
-
C.
enteredVia
Indicates that one entity came into or accessed another entity through a specified medium, route, or mechanism.
-
D.
enteredSpace
Indicates that an entity has moved into or crossed the boundary into a particular space or area.
-
E.
enteredPro14
Indicates that an entity has entered or gone into Proverbs chapter 14 (Pro14).
- F. None of above. chosen
Provenance (4 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:14 p.m.