Triple
T33873377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Oher |
E868283
|
entity |
| Predicate | allAmericanHonors |
P94922
|
FINISHED |
| Object | consensus All-American 2008 |
—
|
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: consensus All-American 2008 | Statement: [Michael Oher, allAmericanHonors, consensus All-American 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allAmericanHonors Context triple: [Michael Oher, allAmericanHonors, consensus All-American 2008]
-
A.
highSchoolAllAmerican
Indicates that a person was selected as a high school All-American, recognizing them as one of the top high school athletes in their sport at the national level.
-
B.
collegeSeasonHonor
chosen
Indicates that an entity received a specific honor or award during a particular college sports season.
-
C.
NFLHonour
Indicates that an entity has received an official honor, award, or recognition associated with the National Football League (NFL).
-
D.
hasHeismanTrophies
Indicates that the subject has won one or more Heisman Trophy awards.
-
E.
HeismanTrophyConnection
Indicates a relationship where an entity is connected to the Heisman Trophy, such as by winning, being nominated for, or otherwise being formally associated with the award.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f701042bd081908bf58d12468987b6 |
completed | May 3, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.