Triple

T15551582
Position Surface form Disambiguated ID Type / Status
Subject Jami Gertz E370756 entity
Predicate familyName P18 FINISHED
Object Gertz
Gertz is a surname most notably associated with American actress and philanthropist Jami Gertz.
 E1163592 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: Gertz | Statement: [Jami Gertz, familyName, Gertz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gertz
Context triple: [Jami Gertz, familyName, Gertz]
  • A. Spiegel
    Spiegel is a surname most prominently associated with Evan Spiegel, the co-founder and CEO of Snap Inc.
  • B. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • C. Warta
    Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
  • D. Biglow
    Biglow is a surname and variant spelling of "Bigelow," borne by various individuals and families, particularly in English-speaking countries.
  • E. Knight Ridder
    Knight Ridder was a major American media company best known for owning and operating a large chain of newspapers across the United States before its acquisition by The McClatchy Company in 2006.
  • 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: Gertz
Triple: [Jami Gertz, familyName, Gertz]
Generated description
Gertz is a surname most notably associated with American actress and philanthropist Jami Gertz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gertz
Target entity description: Gertz is a surname most notably associated with American actress and philanthropist Jami Gertz.
  • A. Spiegel
    Spiegel is a surname most prominently associated with Evan Spiegel, the co-founder and CEO of Snap Inc.
  • B. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • C. Warta
    Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
  • D. Biglow
    Biglow is a surname and variant spelling of "Bigelow," borne by various individuals and families, particularly in English-speaking countries.
  • E. Knight Ridder
    Knight Ridder was a major American media company best known for owning and operating a large chain of newspapers across the United States before its acquisition by The McClatchy Company in 2006.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff47aa0bb081908f67e9dae9bc7b27 completed May 9, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff480d81b881908eb3a51f1e7280b0 completed May 9, 2026, 2:43 p.m.
Created at: April 10, 2026, 4:08 a.m.