Triple
T150906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Byron |
E3427
|
entity |
| Predicate | signatureWork |
P491
|
FINISHED |
| Object | Don Juan |
E18082
|
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: Don Juan | Statement: [Lord Byron, signatureWork, Don Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Juan Context triple: [Lord Byron, signatureWork, Don Juan]
-
A.
Don Juan
chosen
Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
-
B.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
-
C.
Don Juan (1926 film)
Don Juan (1926 film) is a 1926 American silent romantic adventure film starring John Barrymore, notable for being the first feature-length film with a synchronized musical score and sound effects using the Vitaphone sound-on-disc system.
-
D.
Diego
Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
E.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c93bbd508190b81527bd95c6e5f4 |
completed | Feb. 28, 2026, 10:53 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.