Triple

T18384036
Position Surface form Disambiguated ID Type / Status
Subject Phil Schiliro E446531 entity
Predicate familyName P18 FINISHED
Object Schiliro
Schiliro is the surname of Phil Schiliro, an American political advisor known for his work in the U.S. Congress and the Obama administration.
 E1320921 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: Schiliro | Statement: [Phil Schiliro, familyName, Schiliro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schiliro
Context triple: [Phil Schiliro, familyName, Schiliro]
  • A. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • B. Arispe
    Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
  • C. Zalambessa
    Zalambessa is a town in the Tigray Region of northern Ethiopia, situated near the border with Eritrea and known for its strategic location along the main road between the two countries.
  • D. Ciampea
    Ciampea is a district in West Java, Indonesia, known as part of the suburban and semi-rural area surrounding the city of Bogor.
  • E. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • 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: Schiliro
Triple: [Phil Schiliro, familyName, Schiliro]
Generated description
Schiliro is the surname of Phil Schiliro, an American political advisor known for his work in the U.S. Congress and the Obama administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schiliro
Target entity description: Schiliro is the surname of Phil Schiliro, an American political advisor known for his work in the U.S. Congress and the Obama administration.
  • A. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • B. Arispe
    Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
  • C. Zalambessa
    Zalambessa is a town in the Tigray Region of northern Ethiopia, situated near the border with Eritrea and known for its strategic location along the main road between the two countries.
  • D. Ciampea
    Ciampea is a district in West Java, Indonesia, known as part of the suburban and semi-rural area surrounding the city of Bogor.
  • E. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179da1048190944398e229e7a4c1 completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d784b3008190b84905ed433d846d completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8512d4c8190b113f7ed1f8a044c completed May 13, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03d8d863cc819098b46d5d26db05cd completed May 13, 2026, 1:50 a.m.
Created at: April 10, 2026, 10:45 a.m.