Triple
T5236336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Tserclaes, Count of Tilly |
E118230
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Tilly
Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
|
E505451
|
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: Tilly | Statement: [Johann Tserclaes, Count of Tilly, alsoKnownAs, Tilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilly Context triple: [Johann Tserclaes, Count of Tilly, alsoKnownAs, Tilly]
-
A.
Tilley
Tilley is an English surname of Norman origin that has been borne by various notable figures, including early American colonists.
-
B.
Tish
"Tish" is a 1942 American comedy film based on Mary Roberts Rinehart's stories, featuring Rags Ragland in a supporting role.
-
C.
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
D.
Ellies
The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
-
E.
Tilly Grosser
Tilly Grosser was the first wife of Austrian neurologist and Holocaust survivor Viktor Frankl, who perished during the Holocaust.
- 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: Tilly Triple: [Johann Tserclaes, Count of Tilly, alsoKnownAs, Tilly]
Generated description
Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilly Target entity description: Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
-
A.
Tilley
Tilley is an English surname of Norman origin that has been borne by various notable figures, including early American colonists.
-
B.
Tish
"Tish" is a 1942 American comedy film based on Mary Roberts Rinehart's stories, featuring Rags Ragland in a supporting role.
-
C.
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
D.
Ellies
The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
-
E.
Tilly Grosser
Tilly Grosser was the first wife of Austrian neurologist and Holocaust survivor Viktor Frankl, who perished during the Holocaust.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef81cca948190ab00302787367f43 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69befa15850481908fd414672620e0a3 |
completed | March 21, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befa65a42c81908b8fe5661e9567cb |
completed | March 21, 2026, 8:07 p.m. |
Created at: March 20, 2026, 1:49 p.m.