Triple

T2576532
Position Surface form Disambiguated ID Type / Status
Subject Hallie Kate Eisenberg E57788 entity
Predicate familyName P18 FINISHED
Object Eisenberg
Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
 E279974 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: Eisenberg | Statement: [Hallie Kate Eisenberg, familyName, Eisenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eisenberg
Context triple: [Hallie Kate Eisenberg, familyName, Eisenberg]
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • D. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • E. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • 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: Eisenberg
Triple: [Hallie Kate Eisenberg, familyName, Eisenberg]
Generated description
Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eisenberg
Target entity description: Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • D. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • E. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a606e481909bcea46de468bb99 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6576a0a8819080d9241801675b19 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af669436208190901d1f34592c1a42 completed March 10, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69af6760cf7c8190bb681f573828049e completed March 10, 2026, 12:35 a.m.
Created at: March 6, 2026, 9:49 p.m.