Triple
T6611974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir AP McCoy |
E149256
|
entity |
| Predicate | yearOfLifetimeAchievementAward |
P2671
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Sir AP McCoy, yearOfLifetimeAchievementAward, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfLifetimeAchievementAward Context triple: [Sir AP McCoy, yearOfLifetimeAchievementAward, 2015]
-
A.
yearOfFame
Indicates the specific year in which an entity achieved fame or became widely recognized.
-
B.
awardReceivedYear
chosen
Indicates the specific year in which an entity received a particular award.
-
C.
lifetimeAward
Indicates that an entity has received a special honor or recognition for achievements spanning the entirety or a significant portion of their career or life.
-
D.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
E.
TonightTonightAwardYear
Indicates the year in which a specific Tonight Tonight Award was given or is associated with.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.