Triple
T7083042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spanish Tragedy |
E165002
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Don Andrea |
E640255
|
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 Andrea | Statement: [The Spanish Tragedy, hasCharacter, Don Andrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Andrea Context triple: [The Spanish Tragedy, hasCharacter, Don Andrea]
-
A.
Don Andrea
chosen
Don Andrea is a ghostly nobleman whose murder and quest for vengeance set the tragic events of Thomas Kyd’s Elizabethan revenge play *The Spanish Tragedy* into motion.
-
B.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
C.
Aleandro
Aleandro is an Italian surname historically associated with notable Catholic churchmen and papal diplomats.
-
D.
Alejo
Alejo is a Spanish given name commonly used as a short form of Alejandro.
-
E.
Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e50f133c81908c5f7336fd5bc5d2 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8f11a48190a2a1f6ad99dc04b9 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:40 p.m.