Triple
T1369956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Robinson |
E30089
|
entity |
| Predicate | MLBNumberRetired |
P2668
|
FINISHED |
| Object | 42 |
—
|
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: 42 | Statement: [Jackie Robinson, MLBNumberRetired, 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MLBNumberRetired Context triple: [Jackie Robinson, MLBNumberRetired, 42]
-
A.
leagueRetiredNumberBy
chosen
Indicates that a sports league has officially retired a specific jersey number in honor of a particular person or entity.
-
B.
NHLTeamNumberRetiredBy
Indicates that a specific jersey number has been officially retired by a particular NHL team in honor of a player or significant figure.
-
C.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
D.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
E.
MLBDebutDate
Indicates the date on which an individual first appeared in a Major League Baseball game.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d60fdc8190a9954b74ca2b2541 |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.