Triple

T4177261
Position Surface form Disambiguated ID Type / Status
Subject ACM SIGSOFT Outstanding Research Award E86506 entity
Predicate hasRecipient P108 FINISHED
Object David Rosenblum
David Rosenblum is a prominent computer scientist known for his influential research in software engineering and formal methods.
E424289 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 Rosenblum | Statement: [ACM SIGSOFT Outstanding Research Award, hasRecipient, David Rosenblum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rosenblum
Context triple: [ACM SIGSOFT Outstanding Research Award, hasRecipient, David Rosenblum]
  • A. Russell Gewirtz
    Russell Gewirtz is an American screenwriter best known for writing the crime thriller film "Inside Man."
  • B. Andrew A. Kosove
    Andrew A. Kosove is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood features across genres.
  • C. Ronald M. Cohen
    Ronald M. Cohen was an American screenwriter known for his work on politically charged and socially conscious films and television projects.
  • D. Stephen E. Rivkin
    Stephen E. Rivkin is an American film editor best known for his work on major feature films including the "Avatar" series.
  • E. Lawrence Weingarten
    Lawrence Weingarten was an American film producer best known for his work at MGM during Hollywood’s classic studio era, overseeing numerous popular comedies and dramas.
  • 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 Rosenblum
Triple: [ACM SIGSOFT Outstanding Research Award, hasRecipient, David Rosenblum]
Generated description
David Rosenblum is a prominent computer scientist known for his influential research in software engineering and formal methods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Rosenblum
Target entity description: David Rosenblum is a prominent computer scientist known for his influential research in software engineering and formal methods.
  • A. Russell Gewirtz
    Russell Gewirtz is an American screenwriter best known for writing the crime thriller film "Inside Man."
  • B. Andrew A. Kosove
    Andrew A. Kosove is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood features across genres.
  • C. Ronald M. Cohen
    Ronald M. Cohen was an American screenwriter known for his work on politically charged and socially conscious films and television projects.
  • D. Stephen E. Rivkin
    Stephen E. Rivkin is an American film editor best known for his work on major feature films including the "Avatar" series.
  • E. Lawrence Weingarten
    Lawrence Weingarten was an American film producer best known for his work at MGM during Hollywood’s classic studio era, overseeing numerous popular comedies and dramas.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ec20fc8190b6f30576337e0ddc completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a84713f88190a051b7d94b89d585 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5ac38488481908e357c35fbdcbc60 completed March 14, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69b5acc576308190a5e34b580db46944 completed March 14, 2026, 6:45 p.m.
Created at: March 9, 2026, 3:45 p.m.