Triple

T3125263
Position Surface form Disambiguated ID Type / Status
Subject Wendy Williams E65281 entity
Predicate employer P7 FINISHED
Object WRKS
WRKS is a New York City-based radio station where Wendy Williams worked as an on-air personality during her broadcasting career.
 E328369 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: WRKS | Statement: [Wendy Williams, employer, WRKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WRKS
Context triple: [Wendy Williams, employer, WRKS]
  • A. WRQ
    WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
  • B. WPG
    WPG is the standard three-letter abbreviation used for the NHL’s Winnipeg Jets franchise.
  • C. WRB
    WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
  • D. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • E. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • 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: WRKS
Triple: [Wendy Williams, employer, WRKS]
Generated description
WRKS is a New York City-based radio station where Wendy Williams worked as an on-air personality during her broadcasting career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WRKS
Target entity description: WRKS is a New York City-based radio station where Wendy Williams worked as an on-air personality during her broadcasting career.
  • A. WRQ
    WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
  • B. WPG
    WPG is the standard three-letter abbreviation used for the NHL’s Winnipeg Jets franchise.
  • C. WRB
    WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
  • D. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • E. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52e9f348190aa15b2c0d252719f completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f75fbf081909a2957b7277c3aae completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b20fbe1ef081909ef8c11fef96fcf9 completed March 12, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_69b2101960388190827cc3e64fdf293b completed March 12, 2026, 1 a.m.
Created at: March 8, 2026, 3:04 p.m.