Triple
T707998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Namath |
E14142
|
entity |
| Predicate | AFLAllStarSelections |
P7101
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Joe Namath, AFLAllStarSelections, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AFLAllStarSelections Context triple: [Joe Namath, AFLAllStarSelections, multiple]
-
A.
AFLChampionship
Indicates a relationship where a team wins or holds the championship title in the Australian Football League (AFL) for a given season or year.
-
B.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
C.
AFLTeam
Indicates that an entity is an Australian Football League (AFL) team, i.e., a professional club competing in the AFL competition.
-
D.
allStarSelectionCount
chosen
Indicates the number of times an entity has been selected as an All-Star.
-
E.
allProSelectionCount
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.