Triple
T9576841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Papi |
E231065
|
entity |
| Predicate | rbisCareer |
P7537
|
FINISHED |
| Object | 1700+ |
—
|
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: 1700+ | Statement: [Big Papi, rbisCareer, 1700+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rbisCareer Context triple: [Big Papi, rbisCareer, 1700+]
-
A.
careerRBIs
chosen
Indicates the total number of runs a player has batted in over the course of their entire career.
-
B.
careerStolenBases
Indicates the total number of bases a player successfully stole over the entire span of their playing career.
-
C.
ledLeagueInRBIs
Indicates that the subject had the highest number of runs batted in (RBIs) in a particular league over a specified season or time period.
-
D.
rookieOfTheYearLeague
Indicates that an entity was awarded the Rookie of the Year title in a specified sports league.
-
E.
careerBattingAverage
Indicates the long-term batting performance of a player, calculated as their total hits divided by total at-bats over their entire career.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.