Triple

T15305886
Position Surface form Disambiguated ID Type / Status
Subject Career Girls E365895 entity
Predicate hasCastMember P2308 FINISHED
Object Paul Trussell
Paul Trussell is an actor known for appearing in the British television series "Career Girls."
 E1150624 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: Paul Trussell | Statement: [Career Girls, hasCastMember, Paul Trussell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Trussell
Context triple: [Career Girls, hasCastMember, Paul Trussell]
  • A. Michael Gunton
    Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
  • B. David Huntley
    David Huntley is an entrepreneur best known as a founder of the outdoor apparel and equipment company Mountain Hardwear.
  • C. Daniel Patterson
    Daniel Patterson was the first husband of Mary Baker Eddy, the founder of Christian Science.
  • D. Paul Bratter
    Paul Bratter is a straight-laced, newlywed lawyer whose uptight nature comically clashes with his free-spirited wife in Neil Simon’s romantic comedy "Barefoot in the Park."
  • E. John Civello
    John Civello, also known by the nickname "Johnny Boy," is an individual primarily recognized in this context by his informal moniker rather than widely documented public achievements.
  • 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: Paul Trussell
Triple: [Career Girls, hasCastMember, Paul Trussell]
Generated description
Paul Trussell is an actor known for appearing in the British television series "Career Girls."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Trussell
Target entity description: Paul Trussell is an actor known for appearing in the British television series "Career Girls."
  • A. Michael Gunton
    Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
  • B. David Huntley
    David Huntley is an entrepreneur best known as a founder of the outdoor apparel and equipment company Mountain Hardwear.
  • C. Daniel Patterson
    Daniel Patterson was the first husband of Mary Baker Eddy, the founder of Christian Science.
  • D. Paul Bratter
    Paul Bratter is a straight-laced, newlywed lawyer whose uptight nature comically clashes with his free-spirited wife in Neil Simon’s romantic comedy "Barefoot in the Park."
  • E. John Civello
    John Civello, also known by the nickname "Johnny Boy," is an individual primarily recognized in this context by his informal moniker rather than widely documented public achievements.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa339f988190b470e052c853e4f8 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefac48df08190ad58e9d455546a57 completed May 9, 2026, 9:13 a.m.
Created at: April 10, 2026, 3:16 a.m.