Triple
T24076694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belichick |
E596381
|
entity |
| Predicate | mostFamousFor |
P52554
|
FINISHED |
| Object | association with NFL coach Bill Belichick |
—
|
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: association with NFL coach Bill Belichick | Statement: [Belichick, mostFamousFor, association with NFL coach Bill Belichick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostFamousFor Context triple: [Belichick, mostFamousFor, association with NFL coach Bill Belichick]
-
A.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
B.
fameFor
chosen
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
C.
inscriptionFamousFor
Indicates that an inscription is widely recognized or notable specifically because of the referenced feature, event, content, or characteristic.
-
D.
mostFamouslyRecordedBy
Indicates that an item (such as a work, song, or performance) is best known or most widely associated with having been recorded by a particular entity.
-
E.
famousForEvent
Indicates that an entity is widely known or recognized specifically because of a particular event.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1e959c81909f4365b5d7f934d9 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:42 p.m.