Triple

T8476157
Position Surface form Disambiguated ID Type / Status
Subject Jeff Fager E200398 entity
Predicate familyName P18 FINISHED
Object Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
 E735523 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: Fager | Statement: [Jeff Fager, familyName, Fager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fager
Context triple: [Jeff Fager, familyName, Fager]
  • A. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • B. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • C. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Fogn
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • E. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller 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: Fager
Triple: [Jeff Fager, familyName, Fager]
Generated description
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fager
Target entity description: Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • A. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • B. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • C. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Fogn
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • E. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a0f5e088190b70b2c7437884b3b completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.