Triple
T12326142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Stange |
E293834
|
entity |
| Predicate | teamSeasonParticipated |
P104481
|
FINISHED |
| Object | 1967 Boston Red Sox season |
—
|
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: 1967 Boston Red Sox season | Statement: [Lee Stange, teamSeasonParticipated, 1967 Boston Red Sox season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSeasonParticipated Context triple: [Lee Stange, teamSeasonParticipated, 1967 Boston Red Sox season]
-
A.
leagueSeasonParticipatedIn
Indicates that an entity took part in a specific season of a league.
-
B.
teamsParticipated
Indicates that the referenced teams took part in a particular event, activity, or competition.
-
C.
leagueParticipatedInAsPlayer
Indicates that a person, in the role of a player, took part in competitions organized by a specific league.
-
D.
teamParticipatedIn
Indicates that a team took part in or was involved in a particular event, activity, or competition.
-
E.
teamParticipated
Indicates that a team took part in or was involved in a particular event, activity, 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.