Triple

T7675487
Position Surface form Disambiguated ID Type / Status
Subject Ashkenazi surnames E173849 entity
Predicate exampleOfHebrewDerivedName P60523 FINISHED
Object Segal
Segal is a common Ashkenazi Jewish surname of Hebrew origin, traditionally associated with priestly (Levite) lineage.
 E681544 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: Segal | Statement: [Ashkenazi surnames, exampleOfHebrewDerivedName, Segal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segal
Context triple: [Ashkenazi surnames, exampleOfHebrewDerivedName, Segal]
  • A. Segall
    Segall is a surname most notably associated with American garage rock and psychedelic musician Ty Segall.
  • B. Sutivan
    Sutivan is a small coastal town and tourist resort on the northwest coast of the Croatian island of Brač in the Adriatic Sea.
  • C. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. SF Sergel
    SF Sergel was a major central Stockholm cinema complex, later rebranded as Filmstaden Sergel, known for showing mainstream and blockbuster films.
  • 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: Segal
Triple: [Ashkenazi surnames, exampleOfHebrewDerivedName, Segal]
Generated description
Segal is a common Ashkenazi Jewish surname of Hebrew origin, traditionally associated with priestly (Levite) lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segal
Target entity description: Segal is a common Ashkenazi Jewish surname of Hebrew origin, traditionally associated with priestly (Levite) lineage.
  • A. Segall
    Segall is a surname most notably associated with American garage rock and psychedelic musician Ty Segall.
  • B. Sutivan
    Sutivan is a small coastal town and tourist resort on the northwest coast of the Croatian island of Brač in the Adriatic Sea.
  • C. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. SF Sergel
    SF Sergel was a major central Stockholm cinema complex, later rebranded as Filmstaden Sergel, known for showing mainstream and blockbuster films.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708affd048190bf21bcc1796a3c39 completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a23ba62881908fcdcf2ffcf6d41d completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a49262ec81908f3b45031994d128 completed March 29, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69c8a50df2a88190b5f7db0afea96fc3 completed March 29, 2026, 4:05 a.m.
Created at: March 27, 2026, 4:01 p.m.