Triple

T2920584
Position Surface form Disambiguated ID Type / Status
Subject Ehrlich E78710 entity
Predicate hasNotableBearer P458 FINISHED
Object Steven G. Ehrlich
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
E444907 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: Steven G. Ehrlich | Statement: [Ehrlich, hasNotableBearer, Steven G. Ehrlich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven G. Ehrlich
Context triple: [Ehrlich, hasNotableBearer, Steven G. Ehrlich]
  • A. Michael Ehrlich
    Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
  • B. Sidney Ehrlich
    Sidney Ehrlich is an individual notable enough to be recognized as a prominent bearer of the Ehrlich surname.
  • C. Malcolm H. I. Ehrlich
    Malcolm H. I. Ehrlich is an individual notable enough to be recognized as a bearer of the Ehrlich surname, though specific widely known biographical or professional details about him are not readily documented in major public sources.
  • D. Jay O. Rothman
    Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
  • E. Charles J.D. Schlissel
    Charles J.D. Schlissel is a film producer best known for his work on major Hollywood thrillers such as "Flightplan."
  • 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: Steven G. Ehrlich
Triple: [Ehrlich, hasNotableBearer, Steven G. Ehrlich]
Generated description
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steven G. Ehrlich
Target entity description: Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
  • A. Michael Ehrlich
    Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
  • B. Sidney Ehrlich
    Sidney Ehrlich is an individual notable enough to be recognized as a prominent bearer of the Ehrlich surname.
  • C. Malcolm H. I. Ehrlich
    Malcolm H. I. Ehrlich is an individual notable enough to be recognized as a bearer of the Ehrlich surname, though specific widely known biographical or professional details about him are not readily documented in major public sources.
  • D. Jay O. Rothman
    Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
  • E. Charles J.D. Schlissel
    Charles J.D. Schlissel is a film producer best known for his work on major Hollywood thrillers such as "Flightplan."
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a672f88190851e487dac18d43f completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b1c9cb881908df6998f752f13d0 completed March 15, 2026, 8:17 a.m.
NEDg Description generation batch_69b66cc2f0a081909c3021683ba6c791 completed March 15, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_69b66d36218481908dd59c49d3d55b71 completed March 15, 2026, 8:26 a.m.
Created at: March 8, 2026, 2:54 p.m.