Triple

T16161414
Position Surface form Disambiguated ID Type / Status
Subject Sandy Wexler E392188 entity
Predicate screenwriter P2831 FINISHED
Object Dan Bulla
Dan Bulla is a screenwriter known for co-writing the Adam Sandler comedy film "Sandy Wexler."
E1200358 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: Dan Bulla | Statement: [Sandy Wexler, screenwriter, Dan Bulla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Bulla
Context triple: [Sandy Wexler, screenwriter, Dan Bulla]
  • A. David Burtka
    David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
  • B. Brian Blosil
    Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
  • C. Brent Judd
    Brent Judd is a film and television producer best known for his work on the comedy series "Trainwreck."
  • D. Dan Raudabaugh
    Dan Raudabaugh is an American arena football quarterback best known for leading the Philadelphia Soul to multiple championships in the Arena Football League.
  • E. Dave Boller
    Dave Boller is an American football executive best known for serving as the general manager of the San Diego Fleet in the Alliance of American Football.
  • 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: Dan Bulla
Triple: [Sandy Wexler, screenwriter, Dan Bulla]
Generated description
Dan Bulla is a screenwriter known for co-writing the Adam Sandler comedy film "Sandy Wexler."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Bulla
Target entity description: Dan Bulla is a screenwriter known for co-writing the Adam Sandler comedy film "Sandy Wexler."
  • A. David Burtka
    David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
  • B. Brian Blosil
    Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
  • C. Brent Judd
    Brent Judd is a film and television producer best known for his work on the comedy series "Trainwreck."
  • D. Dan Raudabaugh
    Dan Raudabaugh is an American arena football quarterback best known for leading the Philadelphia Soul to multiple championships in the Arena Football League.
  • E. Dave Boller
    Dave Boller is an American football executive best known for serving as the general manager of the San Diego Fleet in the Alliance of American Football.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5f0cb48190aae995d88382e055 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000785fcd481909ddf92cf9cc5c0aa completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00086c32c48190b7cf3ef2a97c7c9f completed May 10, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0008dbeb988190bbfb590f945ace02 completed May 10, 2026, 4:26 a.m.
Created at: April 10, 2026, 5:02 a.m.