Triple
T36099610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Madden Football |
E1044164
|
entity |
| Predicate | coverPerson |
P124213
|
FINISHED |
| Object | John Madden |
—
|
NE NERFINISHED |
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: John Madden | Statement: [John Madden Football, coverPerson, John Madden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverPerson Context triple: [John Madden Football, coverPerson, John Madden]
-
A.
coversPerson
Indicates that one entity provides protection, insurance, or inclusion for a person under its scope or terms.
-
B.
coverRole
Indicates that one entity temporarily assumes or fills the role, duties, or position normally held by another entity.
-
C.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
D.
coverPerformer
chosen
Indicates that one entity performs a cover version of a work originally created or performed by another entity.
-
E.
coverArtistOf
Indicates that one entity is the artist who created the cover artwork for another entity, such as a book, album, or publication.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:08 p.m.