Triple

T11166280
Position Surface form Disambiguated ID Type / Status
Subject Streets E264167 entity
Predicate writer P1360 FINISHED
Object David Sprecher
David Sprecher is an author known for his work related to streets and urban environments.
E908664 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 Sprecher | Statement: [Streets, writer, David Sprecher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Sprecher
Context triple: [Streets, writer, David Sprecher]
  • A. Ben Sprecher
    Ben Sprecher is a Broadway theatre producer known for his involvement in major stage productions in New York.
  • B. Michael Wittenberg
    Michael Wittenberg was an investment adviser best known as the late husband of Broadway star Bernadette Peters.
  • C. Daniel Kraft
    Daniel Kraft is a physician-scientist, inventor, and healthcare entrepreneur known for his work in medical innovation and digital health technologies.
  • D. Neil Hamburger
    Neil Hamburger is the alter ego of American comedian Gregg Turkington, known for his deliberately awkward, anti-comedy stand-up persona and offbeat comedy albums.
  • E. James Ritz
    James Ritz is a screenwriter best known for co-writing the 1977 action-comedy film "Grand Theft Auto," one of Ron Howard’s early directing projects.
  • 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 Sprecher
Triple: [Streets, writer, David Sprecher]
Generated description
David Sprecher is an author known for his work related to streets and urban environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Sprecher
Target entity description: David Sprecher is an author known for his work related to streets and urban environments.
  • A. Ben Sprecher
    Ben Sprecher is a Broadway theatre producer known for his involvement in major stage productions in New York.
  • B. Michael Wittenberg
    Michael Wittenberg was an investment adviser best known as the late husband of Broadway star Bernadette Peters.
  • C. Daniel Kraft
    Daniel Kraft is a physician-scientist, inventor, and healthcare entrepreneur known for his work in medical innovation and digital health technologies.
  • D. Neil Hamburger
    Neil Hamburger is the alter ego of American comedian Gregg Turkington, known for his deliberately awkward, anti-comedy stand-up persona and offbeat comedy albums.
  • E. James Ritz
    James Ritz is a screenwriter best known for co-writing the 1977 action-comedy film "Grand Theft Auto," one of Ron Howard’s early directing projects.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e887293081909830852000d533fa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463945e40819087c6bdbc322a6d54 completed April 19, 2026, 5:09 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.