Triple

T23276318
Position Surface form Disambiguated ID Type / Status
Subject Robert Pirosh E588729 entity
Predicate familyName P18 FINISHED
Object Pirosh
Pirosh is a surname most notably associated with Robert Pirosh, an American screenwriter and director known for his work in mid-20th-century Hollywood cinema.
E1577854 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: Pirosh | Statement: [Robert Pirosh, familyName, Pirosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pirosh
Context triple: [Robert Pirosh, familyName, Pirosh]
  • A. Pilkhua
    Pilkhua is a town in the Hapur district of Uttar Pradesh, India, known for its textile and handloom industries.
  • B. Pitasch
    Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
  • C. Borsh
    Borsh is a village in southern Albania known for its long Ionian Sea beach, olive groves, and historic castle ruins.
  • D. Paniza
    Paniza is a small municipality in the province of Zaragoza, Aragon, Spain, known for its wine production within the Cariñena wine region.
  • E. Brotchi
    Brotchi is a surname most notably associated with Jacques Brotchi, a prominent Belgian neurosurgeon and politician.
  • 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: Pirosh
Triple: [Robert Pirosh, familyName, Pirosh]
Generated description
Pirosh is a surname most notably associated with Robert Pirosh, an American screenwriter and director known for his work in mid-20th-century Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pirosh
Target entity description: Pirosh is a surname most notably associated with Robert Pirosh, an American screenwriter and director known for his work in mid-20th-century Hollywood cinema.
  • A. Pilkhua
    Pilkhua is a town in the Hapur district of Uttar Pradesh, India, known for its textile and handloom industries.
  • B. Pitasch
    Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
  • C. Borsh
    Borsh is a village in southern Albania known for its long Ionian Sea beach, olive groves, and historic castle ruins.
  • D. Paniza
    Paniza is a small municipality in the province of Zaragoza, Aragon, Spain, known for its wine production within the Cariñena wine region.
  • E. Brotchi
    Brotchi is a surname most notably associated with Jacques Brotchi, a prominent Belgian neurosurgeon and politician.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19577841481909acc17bb565bae5c completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7b1a6081908905ed9e8373d52b completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c4009a90c819080c32c5a3363d92e completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40a9e6008190ad61feba7f47fea9 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:48 p.m.