Triple
T605935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Heinsohn |
E11593
|
entity |
| Predicate | rookieOfTheYearAward |
P6825
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [Tom Heinsohn, rookieOfTheYearAward, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rookieOfTheYearAward Context triple: [Tom Heinsohn, rookieOfTheYearAward, 1957]
-
A.
RookieOfTheYearWinner
chosen
Indicates that the subject is the recipient of a Rookie of the Year award in a given league, season, or context.
-
B.
SilverSluggerAward
Indicates that an entity has received the Silver Slugger Award, recognizing it as one of the best offensive players at its position in a given baseball season.
-
C.
NFLMVPawards
Indicates the number of times an entity has received the NFL Most Valuable Player (MVP) award.
-
D.
worldSeriesMVP
Indicates that the subject was selected as the Most Valuable Player (MVP) of a particular World Series.
-
E.
allStarGameName
Indicates the specific name or title assigned to an All-Star Game event associated with an entity.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.