Triple
T4776469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Boselli |
E106059
|
entity |
| Predicate | nflGamesPlayed |
P59251
|
FINISHED |
| Object | 91 |
—
|
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: 91 | Statement: [Tony Boselli, nflGamesPlayed, 91]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflGamesPlayed Context triple: [Tony Boselli, nflGamesPlayed, 91]
-
A.
gamesStartedNFL
Indicates that the subject has started (been in the starting lineup for) one or more games in the National Football League.
-
B.
nflRecord
Indicates the win-loss-tie performance record a team or individual has accumulated in NFL competition.
-
C.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
D.
SuperBowlAppearances
Indicates the number of times an entity has participated in a Super Bowl game.
-
E.
NFLChampionshipSeason
Indicates that a particular season is recognized as an official NFL championship season, during which the league’s championship title was contested and awarded.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:21 p.m.