Triple
T35833041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Blount rule |
E1035850
|
entity |
| Predicate | inspiredByPlayer |
P42514
|
FINISHED |
| Object | Mel Blount |
—
|
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: Mel Blount | Statement: [Mel Blount rule, inspiredByPlayer, Mel Blount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByPlayer Context triple: [Mel Blount rule, inspiredByPlayer, Mel Blount]
-
A.
inspiredPlayer
chosen
Indicates that one player has motivated, influenced, or sparked creativity or performance in another player.
-
B.
inspiredByArtist
Indicates that one entity’s work, style, or creation is influenced or motivated by the artistic output or persona of another artist.
-
C.
inspiredByBand
Indicates that one entity (such as a work, style, or artist) was creatively influenced or motivated by a particular band.
-
D.
inspiredByFictionalCharacter
Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
-
E.
inspiredByOrRelatedTo
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:06 p.m.