Triple
T21960078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V. K. Ratliff |
E542301
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | The Hamlet |
—
|
NE NERFINISHED |
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: The Hamlet | Statement: [V. K. Ratliff, appearsInWork, The Hamlet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hamlet Context triple: [V. K. Ratliff, appearsInWork, The Hamlet]
-
A.
The Hamlet
chosen
The Hamlet is a 1940 novel by William Faulkner that inaugurates his Snopes trilogy, exploring themes of greed, social change, and rural life in the American South.
-
B.
Hamlet
Hamlet is a tragedy by William Shakespeare that follows the Prince of Denmark as he seeks revenge for his father’s murder while grappling with madness, morality, and mortality.
-
C.
Hamlet
Hamlet is a prominent impact crater on Uranus’s moon Oberon, notable for its large size and distinct geological features.
-
D.
Ur-Hamlet
Ur-Hamlet is a hypothesized lost Elizabethan play, likely about the Danish prince Hamlet, that is thought to have significantly influenced Shakespeare’s *Hamlet*.
-
E.
Ngerderar Hamlet
Ngerderar Hamlet is a small rural settlement located within Aimeliik State in the island nation of Palau.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12454a290819094d4b56547816e3f |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.