Triple

T3783757
Position Surface form Disambiguated ID Type / Status
Subject Battleship E85477 entity
Predicate screenwriter P2831 FINISHED
Object Erich Hoeber
Erich Hoeber is an American screenwriter best known for co-writing the action films "Red" and "Battleship."
E389670 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: Erich Hoeber | Statement: [Battleship, screenwriter, Erich Hoeber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erich Hoeber
Context triple: [Battleship, screenwriter, Erich Hoeber]
  • A. Otto Heller
    Otto Heller was a Czech-born cinematographer renowned for his stylish work on British films, including classics like "Peeping Tom" and "The Ipcress File."
  • B. Walter Scharf
    Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
  • C. Erich Landauer
    Erich Landauer, better known as Erich Leinsdorf, was an Austrian-born American conductor renowned for his leadership of major orchestras and opera companies in the 20th century.
  • D. Werner March
    Werner March was a German architect best known for designing Berlin’s Olympic Stadium for the 1936 Summer Olympics.
  • E. Helmut Lotti
    Helmut Lotti is a Belgian singer and performer known for his classical crossover albums and multilingual interpretations of popular and traditional songs.
  • 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: Erich Hoeber
Triple: [Battleship, screenwriter, Erich Hoeber]
Generated description
Erich Hoeber is an American screenwriter best known for co-writing the action films "Red" and "Battleship."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erich Hoeber
Target entity description: Erich Hoeber is an American screenwriter best known for co-writing the action films "Red" and "Battleship."
  • A. Otto Heller
    Otto Heller was a Czech-born cinematographer renowned for his stylish work on British films, including classics like "Peeping Tom" and "The Ipcress File."
  • B. Walter Scharf
    Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
  • C. Erich Landauer
    Erich Landauer, better known as Erich Leinsdorf, was an Austrian-born American conductor renowned for his leadership of major orchestras and opera companies in the 20th century.
  • D. Werner March
    Werner March was a German architect best known for designing Berlin’s Olympic Stadium for the 1936 Summer Olympics.
  • E. Helmut Lotti
    Helmut Lotti is a Belgian singer and performer known for his classical crossover albums and multilingual interpretations of popular and traditional songs.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dc6590819098dda08206206612 completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb19229c8190a6f0ee4ae7f52dab completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fbacc8dc8190bb7e4a14e2d2f504 completed March 14, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc1f679881908e63b22d910c532b completed March 14, 2026, 6:11 a.m.
Created at: March 9, 2026, 3:13 p.m.