Triple

T8891729
Position Surface form Disambiguated ID Type / Status
Subject Lewis Black's Root of All Evil E211693 entity
Predicate hasCastMember P2308 FINISHED
Object Andrew Daly
Andrew Daly is an American actor and comedian known for his work in television, film, and voice acting, including roles on shows like "Review" and "Eastbound & Down."
E780986 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: Andrew Daly | Statement: [Lewis Black's Root of All Evil, hasCastMember, Andrew Daly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Daly
Context triple: [Lewis Black's Root of All Evil, hasCastMember, Andrew Daly]
  • A. James Daly
    James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
  • B. Nick Daley
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • C. Chris Dabaldo
    Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
  • D. Darin McFadyen
    Darin McFadyen is a New Zealand-born DJ and producer best known for his breakbeat and electronic music work under the stage name Freq Nasty.
  • E. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • 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: Andrew Daly
Triple: [Lewis Black's Root of All Evil, hasCastMember, Andrew Daly]
Generated description
Andrew Daly is an American actor and comedian known for his work in television, film, and voice acting, including roles on shows like "Review" and "Eastbound & Down."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Daly
Target entity description: Andrew Daly is an American actor and comedian known for his work in television, film, and voice acting, including roles on shows like "Review" and "Eastbound & Down."
  • A. James Daly
    James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
  • B. Nick Daley
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • C. Chris Dabaldo
    Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
  • D. Darin McFadyen
    Darin McFadyen is a New Zealand-born DJ and producer best known for his breakbeat and electronic music work under the stage name Freq Nasty.
  • E. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61ba33c48190a657fc4147a326c0 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047408b20819084d0b9b831f0f2c0 completed April 3, 2026, 11:03 p.m.
NEDg Description generation batch_69d0496672a881909c1ac91a7ec1a2a1 completed April 3, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69d04a35451881909dfe6795b743b026 completed April 3, 2026, 11:16 p.m.
Created at: March 30, 2026, 6:54 p.m.