Triple
T12345063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Lujack |
E294329
|
entity |
| Predicate | helpedWinNationalTitle |
P104582
|
FINISHED |
| Object | 1943 |
—
|
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: 1943 | Statement: [Johnny Lujack, helpedWinNationalTitle, 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedWinNationalTitle Context triple: [Johnny Lujack, helpedWinNationalTitle, 1943]
-
A.
wonWorldTitleIn
Indicates that an entity achieved victory in a world championship title in a specified competition or year.
-
B.
wonTitleFrom
Indicates that one entity obtained a title or championship by defeating or surpassing another specific entity who previously held it.
-
C.
wonTitleWith
Indicates that an entity secured a specific title, award, or championship while being associated with or representing another entity (such as a team, organization, or group).
-
D.
hasWonRegionalTitle
Indicates that an entity has achieved victory in a competition at the regional level and been awarded the corresponding title.
-
E.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
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.