Triple
T27298290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry de Bromhead |
E688827
|
entity |
| Predicate | wonGrandNationalWith |
P162317
|
FINISHED |
| Object | Minella Times |
—
|
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: Minella Times | Statement: [Henry de Bromhead, wonGrandNationalWith, Minella Times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonGrandNationalWith Context triple: [Henry de Bromhead, wonGrandNationalWith, Minella Times]
-
A.
ownedWinnerOf
Indicates that an entity owns or possesses the winner of a specified competition, contest, or event.
-
B.
breedersCupWin
Indicates that an entity has achieved a victory in a Breeders' Cup race.
-
C.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
-
D.
wonNationalTitle
Indicates that an entity has achieved first place or championship status in a competition at the national level.
-
E.
mostSuccessfulJockey
Indicates that the subject is the jockey with the highest level of success (e.g., most wins or top performance) in a given context or competition.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62782b9048190b942a03b3518b863 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 11:20 a.m.