Triple

T14094172
Position Surface form Disambiguated ID Type / Status
Subject Goodman E339208 entity
Predicate hasNotableBearer P458 FINISHED
Object Andy Goodman
Andy Goodman is a professional associated with notable work in communications, storytelling, and public interest advocacy.
E1079343 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: Andy Goodman | Statement: [Goodman, hasNotableBearer, Andy Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Goodman
Context triple: [Goodman, hasNotableBearer, Andy Goodman]
  • A. Brian Goodman
    Brian Goodman is an American actor and director known for his character roles in film and television, including a notable part in the crime drama series "Rizzoli & Isles."
  • B. Adam Goodman
    Adam Goodman is one of the two eccentric Goodman brothers in the British sitcom "Friday Night Dinner," known for his childish pranks, sibling rivalry, and awkward romantic misadventures.
  • C. Joel Goodman
    Joel Goodman is a film editor known for his work on the movie "The Abyss."
  • D. Al Goodman
    Al Goodman was an American conductor and bandleader best known for his work on Broadway and radio during the early to mid-20th century.
  • E. Roger Goodman
    Roger Goodman is a television director and producer best known for directing major live broadcasts and award shows, including the Academy Awards.
  • 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: Andy Goodman
Triple: [Goodman, hasNotableBearer, Andy Goodman]
Generated description
Andy Goodman is a professional associated with notable work in communications, storytelling, and public interest advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andy Goodman
Target entity description: Andy Goodman is a professional associated with notable work in communications, storytelling, and public interest advocacy.
  • A. Brian Goodman
    Brian Goodman is an American actor and director known for his character roles in film and television, including a notable part in the crime drama series "Rizzoli & Isles."
  • B. Adam Goodman
    Adam Goodman is one of the two eccentric Goodman brothers in the British sitcom "Friday Night Dinner," known for his childish pranks, sibling rivalry, and awkward romantic misadventures.
  • C. Joel Goodman
    Joel Goodman is a film editor known for his work on the movie "The Abyss."
  • D. Al Goodman
    Al Goodman was an American conductor and bandleader best known for his work on Broadway and radio during the early to mid-20th century.
  • E. Roger Goodman
    Roger Goodman is a television director and producer best known for directing major live broadcasts and award shows, including the Academy Awards.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0aa2fbc8190b86fea2306363f1b completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:22 p.m.