Triple

T14167576
Position Surface form Disambiguated ID Type / Status
Subject Crossing Delancey E351118 entity
Predicate producer P490 FINISHED
Object Michele Pawk
Michele Pawk is a Tony Award–winning American actress and singer known for her work in Broadway musicals and plays.
E1083147 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: Michele Pawk | Statement: [Crossing Delancey, producer, Michele Pawk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele Pawk
Context triple: [Crossing Delancey, producer, Michele Pawk]
  • A. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • B. Michele Marsh
    Michele Marsh is an American actress best known for her role as Hodel in the 1971 film adaptation of the musical "Fiddler on the Roof."
  • C. Leslie Kershaw
    Leslie Kershaw is an individual notable enough to be recognized as a namesake of the surname Kershaw, though specific widely known public details about them are limited.
  • D. Mick Abraham
    Mick Abraham is the son of Academy Award–winning American actor F. Murray Abraham.
  • E. Ronnie Moran
    Ronnie Moran was a long-serving Liverpool FC coach and caretaker manager, renowned as a key figure in the club’s famed “Boot Room” era.
  • 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: Michele Pawk
Triple: [Crossing Delancey, producer, Michele Pawk]
Generated description
Michele Pawk is a Tony Award–winning American actress and singer known for her work in Broadway musicals and plays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michele Pawk
Target entity description: Michele Pawk is a Tony Award–winning American actress and singer known for her work in Broadway musicals and plays.
  • A. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • B. Michele Marsh
    Michele Marsh is an American actress best known for her role as Hodel in the 1971 film adaptation of the musical "Fiddler on the Roof."
  • C. Leslie Kershaw
    Leslie Kershaw is an individual notable enough to be recognized as a namesake of the surname Kershaw, though specific widely known public details about them are limited.
  • D. Mick Abraham
    Mick Abraham is the son of Academy Award–winning American actor F. Murray Abraham.
  • E. Ronnie Moran
    Ronnie Moran was a long-serving Liverpool FC coach and caretaker manager, renowned as a key figure in the club’s famed “Boot Room” era.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f57ad88190aeb8ee0f834bfa20 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcfdcbd53c81909a347e26b30f9c0b completed May 7, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69fcfe9099508190bafd65d0d00129f0 completed May 7, 2026, 9:05 p.m.
Created at: April 10, 2026, 1 a.m.