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.