Triple
T13003691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorick van Wageningen |
E322232
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
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."
|
E1016099
|
NE FINISHED |
How this triple was built (4 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: [Yorick van Wageningen, givenName, Yorick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorick Context triple: [Yorick van Wageningen, givenName, Yorick]
-
A.
Gravedigger
"Gravedigger" is a reflective, storytelling song by Dave Matthews that explores mortality and the lives behind the names on gravestones.
-
B.
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.
-
C.
Gravedigger Jones
Gravedigger Jones is a tough, streetwise Harlem detective featured in Chester Himes’s crime novels and their film adaptations.
-
D.
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.
-
E.
Marcellus
Marcellus is a prominent ancient Roman cognomen associated with members of the patrician Claudian gens, notably borne by several distinguished statesmen and military leaders.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yorick Triple: [Yorick van Wageningen, givenName, Yorick]
Generated description
Yorick is a masculine given name of Dutch origin, used both as a standalone first name and famously known from Shakespeare’s play "Hamlet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yorick Target entity description: Yorick is a masculine given name of Dutch origin, used both as a standalone first name and famously known from Shakespeare’s play "Hamlet."
-
A.
Gravedigger
"Gravedigger" is a reflective, storytelling song by Dave Matthews that explores mortality and the lives behind the names on gravestones.
-
B.
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.
-
C.
Gravedigger Jones
Gravedigger Jones is a tough, streetwise Harlem detective featured in Chester Himes’s crime novels and their film adaptations.
-
D.
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.
-
E.
Marcellus
Marcellus is a prominent ancient Roman cognomen associated with members of the patrician Claudian gens, notably borne by several distinguished statesmen and military leaders.
- F. None of above. chosen
Provenance (5 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c107f990819093042560b1bc4473 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c43bc75c8190887b8135fbc8bbb5 |
completed | May 3, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c50cf3c08190b1ef6379f1f96201 |
completed | May 3, 2026, 3:46 a.m. |
Created at: April 9, 2026, 8:47 p.m.