Triple
T10175598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | József Pehm |
E235842
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pehm
Pehm is a Hungarian surname most notably borne by József Pehm, who later became Cardinal József Mindszenty, a prominent 20th-century Catholic prelate and anti-communist figure.
|
E846205
|
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: Pehm | Statement: [József Pehm, familyName, Pehm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pehm Context triple: [József Pehm, familyName, Pehm]
-
A.
Punilla
Punilla is a province in Chile’s Ñuble Region, known for its predominantly rural character and agricultural activities.
-
B.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
C.
Parikkala
Parikkala is a municipality in South Karelia, southeastern Finland, known for its lakeside landscapes and proximity to the Russian border.
-
D.
Neltume
Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- 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: Pehm Triple: [József Pehm, familyName, Pehm]
Generated description
Pehm is a Hungarian surname most notably borne by József Pehm, who later became Cardinal József Mindszenty, a prominent 20th-century Catholic prelate and anti-communist figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pehm Target entity description: Pehm is a Hungarian surname most notably borne by József Pehm, who later became Cardinal József Mindszenty, a prominent 20th-century Catholic prelate and anti-communist figure.
-
A.
Punilla
Punilla is a province in Chile’s Ñuble Region, known for its predominantly rural character and agricultural activities.
-
B.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
C.
Parikkala
Parikkala is a municipality in South Karelia, southeastern Finland, known for its lakeside landscapes and proximity to the Russian border.
-
D.
Neltume
Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd26a8c8190a391b9d5e47ebb72 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301232e5c8190ad80c4e78681994c |
completed | April 6, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d3028994fc81908507449a10e7e093 |
completed | April 6, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3031ed1e88190b9906338285a6e46 |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:11 p.m.