Triple
T19917611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Triple Crown |
E478704
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Justify |
—
|
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: Justify | Statement: [U.S. Triple Crown, notableWinner, Justify]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justify Context triple: [U.S. Triple Crown, notableWinner, Justify]
-
A.
Justify
chosen
Justify is an American Thoroughbred racehorse best known for winning the 2018 Triple Crown.
-
B.
Justy
Justy is a diminutive or affectionate nickname commonly used for the given name Justin.
-
C.
Vincere
Vincere is an Italian historical drama film that chronicles the tumultuous relationship between Benito Mussolini and his first wife, Ida Dalser, set against the rise of Fascism.
-
D.
Carry
Carry is the given name of Carry Nation, the American temperance activist famous for attacking saloons with a hatchet in the early 20th century.
-
E.
Justa
Justa was a daughter of the Roman emperor Valentinian I, belonging to the imperial family of the late Western Roman Empire.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65995bd60819097cfad003dd29731 |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.