Triple

T19629120
Position Surface form Disambiguated ID Type / Status
Subject Polar (film) E471217 entity
Predicate producer P490 FINISHED
Object Hartley Gorenstein
Hartley Gorenstein is a film producer best known for his work on the action-thriller movie "Polar."
 E1386454 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: Hartley Gorenstein | Statement: [Polar (film), producer, Hartley Gorenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hartley Gorenstein
Context triple: [Polar (film), producer, Hartley Gorenstein]
  • A. Joseph Liebgott
    Joseph Liebgott was a paratrooper and rifleman in Easy Company of the U.S. Army’s 101st Airborne Division during World War II, known from the book and miniseries "Band of Brothers."
  • B. Bernard Herzbrun
    Bernard Herzbrun was an American art director known for his work on numerous Hollywood films during the 1930s and 1940s.
  • C. Louis Hollander
    Louis Hollander was a New York labor leader and public official who served as the state’s Industrial Commissioner, overseeing labor and employment policy.
  • D. Morton Gottlieb
    Morton Gottlieb was an American theatrical and film producer best known for his work on acclaimed stage plays and character-driven movies.
  • E. Herbert Kline
    Herbert Kline was an American documentary filmmaker and screenwriter known for his socially conscious films in the mid-20th century.
  • 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: Hartley Gorenstein
Triple: [Polar (film), producer, Hartley Gorenstein]
Generated description
Hartley Gorenstein is a film producer best known for his work on the action-thriller movie "Polar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hartley Gorenstein
Target entity description: Hartley Gorenstein is a film producer best known for his work on the action-thriller movie "Polar."
  • A. Joseph Liebgott
    Joseph Liebgott was a paratrooper and rifleman in Easy Company of the U.S. Army’s 101st Airborne Division during World War II, known from the book and miniseries "Band of Brothers."
  • B. Bernard Herzbrun
    Bernard Herzbrun was an American art director known for his work on numerous Hollywood films during the 1930s and 1940s.
  • C. Louis Hollander
    Louis Hollander was a New York labor leader and public official who served as the state’s Industrial Commissioner, overseeing labor and employment policy.
  • D. Morton Gottlieb
    Morton Gottlieb was an American theatrical and film producer best known for his work on acclaimed stage plays and character-driven movies.
  • E. Herbert Kline
    Herbert Kline was an American documentary filmmaker and screenwriter known for his socially conscious films in the mid-20th century.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771c20d8081909095444afe673e09 completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a07727e9cd48190b5a83d0bf8805170 completed May 15, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0773021f788190aaeb3a6831ded005 completed May 15, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:44 p.m.