Triple
T20010966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gashlycrumb Tinies |
E494586
|
entity |
| Predicate | hasLetterCharacter |
P17387
|
FINISHED |
| Object | Yorick |
E1016099
|
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: Yorick | Statement: [The Gashlycrumb Tinies, hasLetterCharacter, Yorick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorick Context triple: [The Gashlycrumb Tinies, hasLetterCharacter, Yorick]
-
A.
Yorick
chosen
Yorick is a masculine given name of Dutch origin, used both as a standalone first name and famously known from Shakespeare’s play "Hamlet."
-
B.
Gravedigger
"Gravedigger" is a reflective, storytelling song by Dave Matthews that explores mortality and the lives behind the names on gravestones.
-
C.
Trompe-la-Mort
Trompe-la-Mort is the underworld alias of Vautrin, a cunning and enigmatic criminal mastermind in Honoré de Balzac’s La Comédie humaine.
-
D.
Gravedigger Jones
Gravedigger Jones is a tough, streetwise Harlem detective featured in Chester Himes’s crime novels and their film adaptations.
-
E.
Grim Reaper
The Grim Reaper is a symbolic personification of death, typically depicted as a cloaked skeletal figure wielding a scythe who comes to collect souls.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080511e050819096355be6c8d138e5 |
completed | May 16, 2026, 5:48 a.m. |
Created at: April 11, 2026, 3:33 p.m.