Triple
T18044923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justify |
E431745
|
entity |
| Predicate | notableJockey |
P55480
|
FINISHED |
| Object | Mike E. Smith |
—
|
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: Mike E. Smith | Statement: [Justify, notableJockey, Mike E. Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike E. Smith Context triple: [Justify, notableJockey, Mike E. Smith]
-
A.
Mike E. Smith
chosen
Mike E. Smith is a Hall of Fame American jockey renowned for winning numerous major races, including multiple Breeders’ Cup events and Triple Crown classics.
-
B.
Jim Smith
Jim Smith was an English football manager best known for his influential spell in charge of Derby County and a long career managing numerous clubs in the English leagues.
-
C.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
D.
Chris Smith
Chris Smith is a long-serving Republican U.S. Representative from New Jersey known for his work on human rights and veterans’ issues.
-
E.
Chris Smith
Chris Smith is an American rapper best known as one half of the 1990s hip hop duo Kris Kross.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff13f488190993445769551c9c2 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.