Triple
T12408835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip I, Landgrave of Hesse |
E296460
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Philip
Philip was a 16th-century German prince known as Philip I, Landgrave of Hesse, a leading political figure of the Protestant Reformation.
|
E985420
|
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: Philip | Statement: [Philip I, Landgrave of Hesse, givenName, Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Context triple: [Philip I, Landgrave of Hesse, givenName, Philip]
-
A.
Philip
Philip is the given name of Philip Sheridan, a prominent Union general in the American Civil War who later became Commanding General of the U.S. Army.
-
B.
Philip
Philip was the given name of Philip IV of France, the medieval Capetian king known for his conflicts with the papacy and the suppression of the Knights Templar.
-
C.
Philip
Philip is one of the middle names of William Arthur Philip Louis, better known as Prince William, the heir apparent to the British throne.
-
D.
Philip
Philip is the given name of Philip H. Lathrop, an American cinematographer known for his work on numerous Hollywood films.
-
E.
Philip
Philip is the middle name of Charles Philip of Brunswick-Lüneburg, a historical German nobleman of the House of Welf.
- 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: Philip Triple: [Philip I, Landgrave of Hesse, givenName, Philip]
Generated description
Philip was a 16th-century German prince known as Philip I, Landgrave of Hesse, a leading political figure of the Protestant Reformation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philip Target entity description: Philip was a 16th-century German prince known as Philip I, Landgrave of Hesse, a leading political figure of the Protestant Reformation.
-
A.
Philip
Philip was the given name of Philip the Good, the influential 15th-century Duke of Burgundy known for expanding Burgundian power and patronizing the arts.
-
B.
Philip
Philip, known historically as Philip the Handsome, was a late 15th- and early 16th-century Habsburg ruler who became Duke of Burgundy and King of Castile through marriage to Joanna of Castile.
-
C.
Philip
Philip is the given name of Philip Christoph von Königsmarck, a 17th-century German nobleman and soldier known for his romantic scandal with Sophia Dorothea of Celle.
-
D.
Philip
Philip is the middle name of Charles Philip of Brunswick-Lüneburg, a historical German nobleman of the House of Welf.
-
E.
Philip
Philip was the given name of Philip III, Count of Nassau-Weilburg, a late medieval German nobleman from the House of Nassau.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efe60388190944fe3226be4cc7c |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f64305712881908a8ccd884b19e602 |
completed | May 2, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f644dc87b08190a99846fee86b0570 |
completed | May 2, 2026, 6:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.