Triple
T9281245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Bartha |
E223072
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bartha
Bartha is a surname most notably borne by American actor Justin Bartha, known for roles in films like "The Hangover" and "National Treasure."
|
E789912
|
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: Bartha | Statement: [Justin Bartha, familyName, Bartha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartha Context triple: [Justin Bartha, familyName, Bartha]
-
A.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
B.
Bárdossy
Bárdossy is a Hungarian surname most notably associated with László Bárdossy, who served as Hungary’s prime minister during World War II.
-
C.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
D.
Bártfa
Bártfa is a historic town in present-day northeastern Slovakia, renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
-
E.
Lehel
Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
- 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: Bartha Triple: [Justin Bartha, familyName, Bartha]
Generated description
Bartha is a surname most notably borne by American actor Justin Bartha, known for roles in films like "The Hangover" and "National Treasure."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bartha Target entity description: Bartha is a surname most notably borne by American actor Justin Bartha, known for roles in films like "The Hangover" and "National Treasure."
-
A.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
B.
Bárdossy
Bárdossy is a Hungarian surname most notably associated with László Bárdossy, who served as Hungary’s prime minister during World War II.
-
C.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
D.
Bártfa
Bártfa is a historic town in present-day northeastern Slovakia, renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
-
E.
Lehel
Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081c2b048190aa6930de3bf2f87f |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b209a5b48190a7e6d983bcda5363 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b3548dd881908adadf4a728cec50 |
completed | April 4, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4083da88190ab996ee53bf5ff16 |
completed | April 4, 2026, 6:47 a.m. |
Created at: March 30, 2026, 7:34 p.m.