Triple
T2666580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Csonka |
E55649
|
entity |
| Predicate | nflAllProSelection |
P41543
|
FINISHED |
| Object | first-team All-Pro |
—
|
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: first-team All-Pro | Statement: [Larry Csonka, nflAllProSelection, first-team All-Pro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflAllProSelection Context triple: [Larry Csonka, nflAllProSelection, first-team All-Pro]
-
A.
allProSelectionCount
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
-
B.
nflProBowls
Indicates the number of times a player has been selected to participate in the NFL Pro Bowl all-star game.
-
C.
ProFootballHallOfFame
Indicates that a person has been inducted into the Pro Football Hall of Fame.
-
D.
SuperBowlMVPawards
Indicates that a person has received the Most Valuable Player (MVP) award for a particular Super Bowl game.
-
E.
selectedToProBowl
Indicates that an athlete has been chosen to participate in the Pro Bowl all-star game.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd97040e48190b0a87489f108810e |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8f98c348190a68064c565589459 |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:54 p.m.