Triple

T17567577
Position Surface form Disambiguated ID Type / Status
Subject Chaka Fattah E427855 entity
Predicate familyName P18 FINISHED
Object Fattah
Fattah is the surname of Chaka Fattah, a former U.S. Congressman from Pennsylvania known for his long tenure in the House of Representatives and subsequent corruption conviction.
 E1275379 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: Fattah | Statement: [Chaka Fattah, familyName, Fattah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fattah
Context triple: [Chaka Fattah, familyName, Fattah]
  • A. Al Fadli
    Al Fadli is a subtribe of the Shammar, a major Arab tribal confederation historically centered in the Arabian Peninsula and surrounding regions.
  • B. Fathi
    Fathi is an Arabic masculine given name commonly used in the Middle East and North Africa.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Nassef
    Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
  • E. Naser
    Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
  • 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: Fattah
Triple: [Chaka Fattah, familyName, Fattah]
Generated description
Fattah is the surname of Chaka Fattah, a former U.S. Congressman from Pennsylvania known for his long tenure in the House of Representatives and subsequent corruption conviction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fattah
Target entity description: Fattah is the surname of Chaka Fattah, a former U.S. Congressman from Pennsylvania known for his long tenure in the House of Representatives and subsequent corruption conviction.
  • A. Al Fadli
    Al Fadli is a subtribe of the Shammar, a major Arab tribal confederation historically centered in the Arabian Peninsula and surrounding regions.
  • B. Fathi
    Fathi is an Arabic masculine given name commonly used in the Middle East and North Africa.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Nassef
    Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
  • E. Naser
    Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d29a14288190b5b665c5450b7c18 completed May 11, 2026, 12:59 p.m.
NEDg Description generation batch_6a01d43430d481909b07d8ecc09a185f completed May 11, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01d4c609fc819089147744317d4be3 completed May 11, 2026, 1:08 p.m.
Created at: April 10, 2026, 5:50 a.m.