Triple
T745852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Cardinal König |
E15339
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Franz
Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
|
E112851
|
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: Franz | Statement: [Franz Cardinal König, givenName, Franz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franz Context triple: [Franz Cardinal König, givenName, Franz]
-
A.
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
B.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
-
C.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
D.
Ludwig
Ludwig is a masculine given name of Germanic origin, historically associated with nobility and rulers and used in various forms across many European languages.
-
E.
Alfréd
Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
- 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: Franz Triple: [Franz Cardinal König, givenName, Franz]
Generated description
Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franz Target entity description: Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
-
A.
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
B.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
-
C.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
D.
Ludwig
Ludwig is a masculine given name of Germanic origin, historically associated with nobility and rulers and used in various forms across many European languages.
-
E.
Alfréd
Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a61217b881908592096b1edacb8a |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac118aa3c48190be7ca68d17457ea8 |
completed | March 7, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69ac11e8f598819083bd002de35fa856 |
completed | March 7, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac124d385c8190b75ad3a7213a796f |
completed | March 7, 2026, 11:55 a.m. |
Created at: March 1, 2026, 7:37 p.m.