Triple
T36950666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordy Nelson |
E914052
|
entity |
| Predicate | sportPlayedInHighSchool |
P155257
|
FINISHED |
| Object | football |
—
|
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: football | Statement: [Jordy Nelson, sportPlayedInHighSchool, football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportPlayedInHighSchool Context triple: [Jordy Nelson, sportPlayedInHighSchool, football]
-
A.
highSchoolSportStrength
Indicates that a particular sport is characterized by a high level of physical strength in the context of high school athletics.
-
B.
sportsPlayed
chosen
Indicates that an entity participates in or engages in a particular sport.
-
C.
playedHighSchoolBasketballAt
Indicates that a person was a member of and participated on the basketball team of a particular high school.
-
D.
highSchoolPositionPlayed
Indicates the specific playing position an individual held on a high school sports team.
-
E.
playedHighSchoolBasketballIn
Indicates that a person participated in playing basketball at the high school level in a specified location or institution.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.