Triple

T21490320
Position Surface form Disambiguated ID Type / Status
Subject Don Jon E530218 entity
Predicate editedBy P1954 FINISHED
Object Lauren Zuckerman
Lauren Zuckerman is a film editor known for her work on the romantic comedy-drama "Don Jon."
E1514944 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: Lauren Zuckerman | Statement: [Don Jon, editedBy, Lauren Zuckerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Zuckerman
Context triple: [Don Jon, editedBy, Lauren Zuckerman]
  • A. Lauren Zalaznick
    Lauren Zalaznick is an American media executive and film producer known for her influential work in independent cinema and television, including producing the acclaimed film "Safe" (1995).
  • B. Lauren Lazin
    Lauren Lazin is an American documentary filmmaker best known for directing the Academy Award–nominated film "Tupac: Resurrection."
  • C. Lauren Schuker Blum
    Lauren Schuker Blum is an American journalist and screenwriter known for her work in entertainment reporting and film and television writing.
  • D. Lauren Resnick
    Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
  • E. Heather Zichal
    Heather Zichal is an American climate and energy policy expert who served as a senior adviser in the Obama administration, particularly on environmental and clean energy initiatives.
  • 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: Lauren Zuckerman
Triple: [Don Jon, editedBy, Lauren Zuckerman]
Generated description
Lauren Zuckerman is a film editor known for her work on the romantic comedy-drama "Don Jon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauren Zuckerman
Target entity description: Lauren Zuckerman is a film editor known for her work on the romantic comedy-drama "Don Jon."
  • A. Lauren Zalaznick
    Lauren Zalaznick is an American media executive and film producer known for her influential work in independent cinema and television, including producing the acclaimed film "Safe" (1995).
  • B. Lauren Lazin
    Lauren Lazin is an American documentary filmmaker best known for directing the Academy Award–nominated film "Tupac: Resurrection."
  • C. Lauren Schuker Blum
    Lauren Schuker Blum is an American journalist and screenwriter known for her work in entertainment reporting and film and television writing.
  • D. Lauren Resnick
    Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
  • E. Heather Zichal
    Heather Zichal is an American climate and energy policy expert who served as a senior adviser in the Obama administration, particularly on environmental and clean energy initiatives.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b5491e48190b699cb40384ad193 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7ca4fecc8190926a8d133cd67ba7 completed May 18, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d06cb0c819093c960f71861ede8 completed May 18, 2026, 2:44 a.m.
Created at: April 16, 2026, 6:22 p.m.