Triple
T3336517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Market Hall |
E70151
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Samu Pecz
Samu Pecz was a prominent Hungarian architect best known for his influential late 19th-century public buildings in Budapest.
|
E349645
|
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: Samu Pecz | Statement: [Great Market Hall, designedBy, Samu Pecz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samu Pecz Context triple: [Great Market Hall, designedBy, Samu Pecz]
-
A.
Gaten Matarazzo
Gaten Matarazzo is an American actor best known for playing Dustin Henderson in the Netflix science-fiction horror series "Stranger Things."
-
B.
Lukas Haas
Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
-
C.
Sibi Blazic
Sibi Blazic is an American former model, makeup artist, and stunt driver best known as the longtime wife of actor Christian Bale.
-
D.
David Pittu
David Pittu is an American actor and playwright known for his versatile work on Broadway, in film and television, and in voice acting.
-
E.
Miguel Gomez
Miguel Gomez is an American actor best known for his role as boxer Miguel "Magic" Escobar in the 2015 sports drama film "Southpaw."
- 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: Samu Pecz Triple: [Great Market Hall, designedBy, Samu Pecz]
Generated description
Samu Pecz was a prominent Hungarian architect best known for his influential late 19th-century public buildings in Budapest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samu Pecz Target entity description: Samu Pecz was a prominent Hungarian architect best known for his influential late 19th-century public buildings in Budapest.
-
A.
Gaten Matarazzo
Gaten Matarazzo is an American actor best known for playing Dustin Henderson in the Netflix science-fiction horror series "Stranger Things."
-
B.
Lukas Haas
Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
-
C.
Sibi Blazic
Sibi Blazic is an American former model, makeup artist, and stunt driver best known as the longtime wife of actor Christian Bale.
-
D.
David Pittu
David Pittu is an American actor and playwright known for his versatile work on Broadway, in film and television, and in voice acting.
-
E.
Miguel Gomez
Miguel Gomez is an American actor best known for his role as boxer Miguel "Magic" Escobar in the 2015 sports drama film "Southpaw."
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c393f20819098d5761372d6a980 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3206be2748190874560701dc1ed18 |
completed | March 12, 2026, 8:22 p.m. |
Created at: March 8, 2026, 3:12 p.m.