Triple
T7870866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Tose |
E182732
|
entity |
| Predicate | periodOfTeamSuccess |
P27901
|
FINISHED |
| Object | late 1970s |
—
|
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: late 1970s | Statement: [Leonard Tose, periodOfTeamSuccess, late 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfTeamSuccess Context triple: [Leonard Tose, periodOfTeamSuccess, late 1970s]
-
A.
eraOfTeamSuccess
chosen
Indicates a period during which a particular team experienced notable or sustained success.
-
B.
isOneOfMostSuccessfulTeamsIn
Indicates that a team ranks among the most successful teams within a specified group, context, or location.
-
C.
consecutiveLeagueTitlesPeriod
Indicates a time span during which a team or entity wins league titles in consecutive seasons without interruption.
-
D.
team2SuperBowlEraSuccess
Indicates that the second team has achieved notable success during the Super Bowl era (post-1966), typically measured by championships, appearances, or comparable accomplishments.
-
E.
teamChampionshipStreak
Indicates the number of consecutive championships a team has won over a continuous sequence of seasons or tournaments.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:55 p.m.