Triple

T8266674
Position Surface form Disambiguated ID Type / Status
Subject ESPN original programming E193317 entity
Predicate includesShow P81597 FINISHED
Object SC6
SC6 is a rebranded, personality-driven edition of ESPN’s SportsCenter that was hosted by Michael Smith and Jemele Hill in the 6 p.m. time slot.
 E722300 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: SC6 | Statement: [ESPN original programming, includesShow, SC6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SC6
Context triple: [ESPN original programming, includesShow, SC6]
  • A. SC4
    SC4 is the commonly used abbreviation for St. Clair County Community College, a public community college located in Port Huron, Michigan.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • D. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • E. SC
    SC is the commonly used abbreviation for Service Canada, the federal government agency that delivers a wide range of public services and benefits to Canadians.
  • 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: SC6
Triple: [ESPN original programming, includesShow, SC6]
Generated description
SC6 is a rebranded, personality-driven edition of ESPN’s SportsCenter that was hosted by Michael Smith and Jemele Hill in the 6 p.m. time slot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SC6
Target entity description: SC6 is a rebranded, personality-driven edition of ESPN’s SportsCenter that was hosted by Michael Smith and Jemele Hill in the 6 p.m. time slot.
  • A. SC4
    SC4 is the commonly used abbreviation for St. Clair County Community College, a public community college located in Port Huron, Michigan.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • D. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • E. SC
    SC is the commonly used abbreviation for Service Canada, the federal government agency that delivers a wide range of public services and benefits to Canadians.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357ecadc81909eb92655a2cbb7e6 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a89d108190a25d1f253d7741e0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f09a7a8819096ae509767ca61ee completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:50 p.m.