Triple

T6577899
Position Surface form Disambiguated ID Type / Status
Subject Debra Messing E157214 entity
Predicate marriageStart P198 FINISHED
Object 2000; Daniel Zelman
Daniel Zelman is an American actor, screenwriter, and television producer known for co-creating the legal thriller series "Damages."
 E602404 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: 2000; Daniel Zelman | Statement: [Debra Messing, marriageStart, 2000; Daniel Zelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 2000; Daniel Zelman
Context triple: [Debra Messing, marriageStart, 2000; Daniel Zelman]
  • A. David Zinn
    David Zinn is an American costume and set designer known for his acclaimed work on Broadway and in major theater productions.
  • B. David Zelon
    David Zelon is a film producer best known for working on action and thriller movies, including the underwater adventure film "Into the Blue."
  • C. Salzman
    Salzman is the surname of Linda Salzman Sagan, an American artist and writer known for co-designing the Pioneer plaque sent into space.
  • D. Jacob Zeilin
    Jacob Zeilin was the seventh Commandant of the United States Marine Corps, noted for formalizing key Marine Corps symbols and traditions in the 19th century.
  • E. Daniel M. Ziegler
    Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
  • 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: 2000; Daniel Zelman
Triple: [Debra Messing, marriageStart, 2000; Daniel Zelman]
Generated description
Daniel Zelman is an American actor, screenwriter, and television producer known for co-creating the legal thriller series "Damages."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 2000; Daniel Zelman
Target entity description: Daniel Zelman is an American actor, screenwriter, and television producer known for co-creating the legal thriller series "Damages."
  • A. David Zinn
    David Zinn is an American costume and set designer known for his acclaimed work on Broadway and in major theater productions.
  • B. David Zelon
    David Zelon is a film producer best known for working on action and thriller movies, including the underwater adventure film "Into the Blue."
  • C. Salzman
    Salzman is the surname of Linda Salzman Sagan, an American artist and writer known for co-designing the Pioneer plaque sent into space.
  • D. Jacob Zeilin
    Jacob Zeilin was the seventh Commandant of the United States Marine Corps, noted for formalizing key Marine Corps symbols and traditions in the 19th century.
  • E. Daniel M. Ziegler
    Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae74fd90819091d67eec6381d5e0 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba5cc708190a8748160a7878b8f completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd071be4819090d6adf0e27c99d2 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce04855481908bfca416fda8c218 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:54 p.m.