Triple

T15837284
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Safran Foer E384016 entity
Predicate familyName P18 FINISHED
Object Foer
Foer is the surname of a family of American writers and intellectuals, including novelist Jonathan Safran Foer and his journalist brothers.
 E1179593 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: Foer | Statement: [Jonathan Safran Foer, familyName, Foer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foer
Context triple: [Jonathan Safran Foer, familyName, Foer]
  • A. Foetz
    Foetz is a small town in southwestern Luxembourg, known for its commercial and industrial areas within the commune of Mondercange.
  • B. Foynes
    Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
  • C. Foyle
    Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
  • D. Foale
    Foale is the surname of Michael Foale, a British-American astrophysicist and former NASA astronaut known for his long-duration spaceflights and work on the Mir and International Space Station.
  • E. Foix
    Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
  • 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: Foer
Triple: [Jonathan Safran Foer, familyName, Foer]
Generated description
Foer is the surname of a family of American writers and intellectuals, including novelist Jonathan Safran Foer and his journalist brothers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foer
Target entity description: Foer is the surname of a family of American writers and intellectuals, including novelist Jonathan Safran Foer and his journalist brothers.
  • A. Foetz
    Foetz is a small town in southwestern Luxembourg, known for its commercial and industrial areas within the commune of Mondercange.
  • B. Foynes
    Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
  • C. Foyle
    Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
  • D. Foale
    Foale is the surname of Michael Foale, a British-American astrophysicist and former NASA astronaut known for his long-duration spaceflights and work on the Mir and International Space Station.
  • E. Foix
    Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e1fcd48190bcb884f6c65db847 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13a83448190adcad8bb84622e55 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:49 a.m.