Triple

T7417173
Position Surface form Disambiguated ID Type / Status
Subject ESPN Podcasts E171158 entity
Predicate hasShow P1513 FINISHED
Object The Woj Pod
The Woj Pod is a basketball-focused podcast hosted by ESPN insider Adrian Wojnarowski, featuring in-depth interviews and analysis on the NBA.
E664045 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: The Woj Pod | Statement: [ESPN Podcasts, hasShow, The Woj Pod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Woj Pod
Context triple: [ESPN Podcasts, hasShow, The Woj Pod]
  • A. Warok
    Warok is a powerful, ascetic strongman figure in the traditional Javanese Reog Ponorogo dance, known for his spiritual prowess, physical strength, and role as a guardian leader in the performance.
  • B. WoZ
    WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
  • C. Spiewak
    Spiewak is a surname most notably associated with Mildred Spiewak, an American figure known primarily through this family name.
  • D. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • E. Woizero
    Woizero is an Ethiopian honorific title historically used for noblewomen, roughly equivalent to "Lady" or "Madam."
  • 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: The Woj Pod
Triple: [ESPN Podcasts, hasShow, The Woj Pod]
Generated description
The Woj Pod is a basketball-focused podcast hosted by ESPN insider Adrian Wojnarowski, featuring in-depth interviews and analysis on the NBA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Woj Pod
Target entity description: The Woj Pod is a basketball-focused podcast hosted by ESPN insider Adrian Wojnarowski, featuring in-depth interviews and analysis on the NBA.
  • A. Warok
    Warok is a powerful, ascetic strongman figure in the traditional Javanese Reog Ponorogo dance, known for his spiritual prowess, physical strength, and role as a guardian leader in the performance.
  • B. WoZ
    WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
  • C. Spiewak
    Spiewak is a surname most notably associated with Mildred Spiewak, an American figure known primarily through this family name.
  • D. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • E. Woizero
    Woizero is an Ethiopian honorific title historically used for noblewomen, roughly equivalent to "Lady" or "Madam."
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c7ae0c8190a8348d6223aeeecc completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eed92888190bf9d11ab91378fa9 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c820cc51d0819083e5a939f9101f92 completed March 28, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69c8230e2b3481909a6460a38be2a478 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:11 p.m.