Triple

T10324962
Position Surface form Disambiguated ID Type / Status
Subject Joe Oros E242738 entity
Predicate familyName P18 FINISHED
Object Oros
Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
E857064 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: Oros | Statement: [Joe Oros, familyName, Oros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oros
Context triple: [Joe Oros, familyName, Oros]
  • A. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • B. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • C. Oriturus
    Oriturus is a genus of New World sparrows known for its grassland-dwelling species found in parts of Mexico.
  • D. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • E. Oros Aiginas
    Oros Aiginas is a mountain on the Greek island of Aegina, known for its hiking trails and panoramic views over the Saronic Gulf.
  • 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: Oros
Triple: [Joe Oros, familyName, Oros]
Generated description
Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oros
Target entity description: Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
  • A. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • B. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • C. Oriturus
    Oriturus is a genus of New World sparrows known for its grassland-dwelling species found in parts of Mexico.
  • D. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • E. Oros Aiginas
    Oros Aiginas is a mountain on the Greek island of Aegina, known for its hiking trails and panoramic views over the Saronic Gulf.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7503f3df88190bc5acb5e5295f787 completed April 9, 2026, 7:07 a.m.
NEDg Description generation batch_69d7516a4d088190b3e3b86956b6b821 completed April 9, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69d75200eecc819094e261c9fa7c75f5 completed April 9, 2026, 7:15 a.m.
Created at: April 6, 2026, 11:51 a.m.