Triple
T21295278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klemens Maria Hofbauer |
E524903
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Maria
Maria is the middle name of Klemens Maria Hofbauer, a prominent Redemptorist priest and patron saint of Vienna.
|
E1475733
|
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: Maria | Statement: [Klemens Maria Hofbauer, middleName, Maria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Context triple: [Klemens Maria Hofbauer, middleName, Maria]
-
A.
Maria
Maria is a track on Rage Against the Machine’s 2000 album "The Battle of Los Angeles," known for its politically charged lyrics and aggressive rap metal sound.
-
B.
Maria
Maria Vladimirovna Dolgorukova was a Russian noblewoman from the prominent Dolgorukov family, known historically as the first wife of Tsar Michael I of Russia.
-
C.
Maria
Maria is the given name of Grand Duchess Maria Alexandrovna of Russia, a 19th-century Russian imperial princess who became Duchess of Edinburgh through marriage into the British royal family.
-
D.
Maria
Maria is a character in the period drama film "Stage Beauty," which explores gender roles and the world of 17th-century English theatre.
-
E.
Maria
Maria is a witty and sharp-tongued lady-in-waiting to the Princess of France in William Shakespeare’s comedy "Love's Labour's Lost."
- 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: Maria Triple: [Klemens Maria Hofbauer, middleName, Maria]
Generated description
Maria is the middle name of Klemens Maria Hofbauer, a prominent Redemptorist priest and patron saint of Vienna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Target entity description: Maria is the middle name of Klemens Maria Hofbauer, a prominent Redemptorist priest and patron saint of Vienna.
-
A.
Maria
Maria is the middle name of the Austrian architect and designer Joseph Maria Olbrich, a key figure of the Vienna Secession movement.
-
B.
Maria
Maria is the given name of Alma Mahler, an influential early 20th-century Viennese composer, socialite, and muse to several prominent artists.
-
C.
Maria
Maria is the given name of Angelo Maria Durini, an 18th-century Italian cardinal, diplomat, and patron of the arts.
-
D.
Maria
Maria was the personal name of Charles I of Austria, the last Emperor of Austria and final ruler of the Austro-Hungarian Empire.
-
E.
Maria
Maria is the middle given name of Cesare Maria De Vecchi, an Italian Fascist politician and prominent figure in Mussolini’s regime.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73857784881908c3b8418a4c00c1e |
completed | April 21, 2026, 8:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09981227a4819095b3ba894f0c6828 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a099892435c8190844d6587d1202ff2 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999266e0c8190b815cb90d9c984c6 |
completed | May 17, 2026, 10:32 a.m. |
Created at: April 16, 2026, 4:04 p.m.