Triple
T16585987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravedigger scene |
E402957
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gravedigger |
E886489
|
NE 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: Gravedigger | Statement: [Gravedigger scene, featuresCharacter, Gravedigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gravedigger Context triple: [Gravedigger scene, featuresCharacter, Gravedigger]
-
A.
Gravedigger
chosen
"Gravedigger" is a reflective, storytelling song by Dave Matthews that explores mortality and the lives behind the names on gravestones.
-
B.
Gravedigger Jones
Gravedigger Jones is a tough, streetwise Harlem detective featured in Chester Himes’s crime novels and their film adaptations.
-
C.
Yorick
Yorick is a masculine given name of Dutch origin, used both as a standalone first name and famously known from Shakespeare’s play "Hamlet."
-
D.
Gravedigger scene
The Gravedigger scene is a darkly comic and philosophically rich moment in Shakespeare’s Hamlet, where Hamlet confronts mortality while conversing with a witty grave-digger amid skulls and open graves.
-
E.
Gräbschen
Gräbschen is a locality in what is now Wrocław, Poland, historically part of Germany and known as the birthplace of mathematician Heinz Hopf.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599cbc448190bc80eef4ad58eb41 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef4f17c819095b3c6f8644b687b |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.