Triple
T32077965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Andrews |
E819209
|
entity |
| Predicate | JohnMackeyAwardYear |
P173516
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Mark Andrews, JohnMackeyAwardYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JohnMackeyAwardYear Context triple: [Mark Andrews, JohnMackeyAwardYear, 2017]
-
A.
nationalPlayerOfTheYearAward
Indicates that an athlete has been selected as the top national player of the year in their sport or league.
-
B.
NaismithPlayerOfYearWinner
Indicates that the subject is the recipient of the Naismith Player of the Year award for a given season or context.
-
C.
FinalsMVPSeason
Indicates the season in which a player was awarded the Finals Most Valuable Player (MVP) honor.
-
D.
ABASeasonMVP
Indicates that an entity was selected as the Most Valuable Player for a particular season in the American Basketball Association (ABA).
-
E.
leagueRookieOfTheYear
Indicates that the subject was selected as the league’s Rookie of the Year for the specified season 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_69f348ff8ef88190931c08ba530a36bc |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b576472881908dcf86eaf238b4c7 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:24 a.m.