Triple

T15631098
Position Surface form Disambiguated ID Type / Status
Subject Fairly Legal E375812 entity
Predicate character P662 FINISHED
Object David Smith
David Smith is a fictional character from the television legal drama series "Fairly Legal."
 E1168886 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: David Smith | Statement: [Fairly Legal, character, David Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Smith
Context triple: [Fairly Legal, character, David Smith]
  • A. David Smith
    David Smith was an influential American sculptor best known for his large-scale abstract steel works that helped redefine modern sculpture in the 20th century.
  • B. David Smith
    David Smith is a television executive producer known for his work on the culinary and cultural docuseries "Taste the Nation with Padma Lakshmi."
  • C. David Smith
    David Smith is a Scottish football executive best known for serving as chairman of Ayr United F.C.
  • D. Ray W. Bliss
    Ray W. Bliss was a prominent American physician and U.S. Army medical officer whose service and leadership in military medicine led to a major Army health center being named in his honor.
  • E. Edward Alec Abbot Snelson
    Edward Alec Abbot Snelson was a British civil servant and lawyer best known as the third husband of Oscar-winning actress Greer Garson.
  • 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: David Smith
Triple: [Fairly Legal, character, David Smith]
Generated description
David Smith is a fictional character from the television legal drama series "Fairly Legal."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Smith
Target entity description: David Smith is a fictional character from the television legal drama series "Fairly Legal."
  • A. David Smith
    David Smith is a Scottish football executive best known for serving as chairman of Ayr United F.C.
  • B. David Smith
    David Smith was an influential American sculptor best known for his large-scale abstract steel works that helped redefine modern sculpture in the 20th century.
  • C. David Smith
    David Smith is a television executive producer known for his work on the culinary and cultural docuseries "Taste the Nation with Padma Lakshmi."
  • D. Ray W. Bliss
    Ray W. Bliss was a prominent American physician and U.S. Army medical officer whose service and leadership in military medicine led to a major Army health center being named in his honor.
  • E. Edward Alec Abbot Snelson
    Edward Alec Abbot Snelson was a British civil servant and lawyer best known as the third husband of Oscar-winning actress Greer Garson.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f44f0b881909ce36823e4314799 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff636c481881909e76e1f0b5c8dbce completed May 9, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_69ff640112988190843c0739c8e1dc45 completed May 9, 2026, 4:42 p.m.
Created at: April 10, 2026, 4:14 a.m.