Triple
T16486026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Edward Greene |
E400440
|
entity |
| Predicate | nflTeamNumber |
P122968
|
FINISHED |
| Object | 75 |
—
|
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: 75 | Statement: [Charles Edward Greene, nflTeamNumber, 75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflTeamNumber Context triple: [Charles Edward Greene, nflTeamNumber, 75]
-
A.
teamNumberWithKansasCityChiefs
Indicates that an entity has the team number assigned to the Kansas City Chiefs.
-
B.
NFLTeam
Indicates a relationship where an entity is identified as a professional American football team that competes in the National Football League.
-
C.
teamNumberWithMiamiDolphins
Indicates that an entity has a team number specifically associated with the Miami Dolphins.
-
D.
proBowlTeam
Indicates that a player was selected to and participated on a specific team in the Pro Bowl all-star game.
-
E.
americanFootballTeamOf
Indicates that one entity is the American football team associated with, representing, or belonging to another entity (such as a school, city, or organization).
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e068fac8190a0971f548848fcfe |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:13 a.m.