Triple
T12787230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomer |
E305662
|
entity |
| Predicate | reasonForNotoriety |
P100753
|
FINISHED |
| Object | suggestive cannon-inspired appearance |
—
|
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: suggestive cannon-inspired appearance | Statement: [Boomer, reasonForNotoriety, suggestive cannon-inspired appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForNotoriety Context triple: [Boomer, reasonForNotoriety, suggestive cannon-inspired appearance]
-
A.
possibleCauseOfNotability
chosen
Indicates that one entity is a potential reason or contributing factor for why another entity is notable or recognized.
-
B.
inceptionOfNotoriety
Indicates the point or event at which an entity first becomes widely known or gains significant public notoriety.
-
C.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
sonNotableFor
Indicates that a son is recognized or distinguished for a particular achievement, role, or characteristic.
-
E.
subjectNotableFor
Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:29 p.m.