Triple
T2248486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Monk |
E49560
|
entity |
| Predicate | NFLRecordHeld |
P36480
|
FINISHED |
| Object | career receptions leader (at time of retirement) |
—
|
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: career receptions leader (at time of retirement) | Statement: [Art Monk, NFLRecordHeld, career receptions leader (at time of retirement)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFLRecordHeld Context triple: [Art Monk, NFLRecordHeld, career receptions leader (at time of retirement)]
-
A.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
B.
holdsNHLRecordFor
Indicates that an entity possesses or is credited with a specific National Hockey League (NHL) record in a given category or statistic.
-
C.
NFLAllTimeRushingYardsLeader
Indicates that the subject is the player who has accumulated the most career rushing yards in NFL history.
-
D.
NBAfranchiseRecordsHeld
Indicates that a person or team holds one or more franchise-specific NBA records for a given franchise.
-
E.
careerReceivingTouchdowns
Indicates the total number of touchdowns a player has scored by receiving the ball over the course of their entire career.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.