Triple
T23730476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Hills Memorial Park |
E586395
|
entity |
| Predicate | hasNotableGraveInscription |
P57501
|
FINISHED |
| Object | Charles Bukowski’s headstone inscription “Don’t Try” |
—
|
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: Charles Bukowski’s headstone inscription “Don’t Try” | Statement: [Green Hills Memorial Park, hasNotableGraveInscription, Charles Bukowski’s headstone inscription “Don’t Try”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableGraveInscription Context triple: [Green Hills Memorial Park, hasNotableGraveInscription, Charles Bukowski’s headstone inscription “Don’t Try”]
-
A.
hasGraveInscription
chosen
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
-
B.
hasGravestone
Indicates that one entity possesses, is associated with, or is commemorated by a gravestone.
-
C.
hasGraveOrMemorialOf
Indicates that a location or object serves as the grave or memorial site dedicated to a particular person or entity.
-
D.
hasTombDesignation
Indicates that an entity has been assigned a specific formal designation or identifier for its tomb.
-
E.
hasNumberOfNamesInscribed
Indicates the quantity of distinct names that are inscribed on a given 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b9193b14819096f1c7b11a441569 |
completed | April 29, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.