Triple
T2740838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Doerr |
E60744
|
entity |
| Predicate | teamHonors |
P41775
|
FINISHED |
| Object | Boston Red Sox retired number 1 |
—
|
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: Boston Red Sox retired number 1 | Statement: [Bobby Doerr, teamHonors, Boston Red Sox retired number 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamHonors Context triple: [Bobby Doerr, teamHonors, Boston Red Sox retired number 1]
-
A.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
B.
hostedTeamAchievement
Indicates that an entity organized or hosted an event or context in which a team achieved a particular accomplishment.
-
C.
teamHallOfFameInduction
Indicates that an individual has been formally inducted into a specific team’s Hall of Fame.
-
D.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
-
E.
hallOfFameAssociation
Indicates that an entity is formally associated with a hall of fame, such as through induction, nomination, or recognition.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.