Triple

T9041520
Position Surface form Disambiguated ID Type / Status
Subject Thunder Road (1958 film) E216640 entity
Predicate editedBy P1954 FINISHED
Object George Gale
George Gale was a film editor known for his work on mid-20th-century American movies, including the crime drama "Thunder Road" (1958).
E775172 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: George Gale | Statement: [Thunder Road (1958 film), editedBy, George Gale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Gale
Context triple: [Thunder Road (1958 film), editedBy, George Gale]
  • A. George Morton
    George Morton was a 17th-century English Puritan and early supporter of the Plymouth Colony, best known for helping publish and promote accounts of the Pilgrims in England.
  • B. Henry Smith
    Henry Smith was a wealthy 17th-century English merchant and philanthropist whose charitable endowments helped establish institutions such as Reigate Grammar School.
  • C. Henry Smith
    Henry Smith was an early Texas political leader who served as the first American-born governor during the Texas Revolution.
  • D. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • E. George Wakefield
    George Wakefield was the father of the English scholar and controversialist Gilbert Wakefield.
  • 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: George Gale
Triple: [Thunder Road (1958 film), editedBy, George Gale]
Generated description
George Gale was a film editor known for his work on mid-20th-century American movies, including the crime drama "Thunder Road" (1958).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George Gale
Target entity description: George Gale was a film editor known for his work on mid-20th-century American movies, including the crime drama "Thunder Road" (1958).
  • A. George Morton
    George Morton was a 17th-century English Puritan and early supporter of the Plymouth Colony, best known for helping publish and promote accounts of the Pilgrims in England.
  • B. Henry Smith
    Henry Smith was an early Texas political leader who served as the first American-born governor during the Texas Revolution.
  • C. Henry Smith
    Henry Smith was a wealthy 17th-century English merchant and philanthropist whose charitable endowments helped establish institutions such as Reigate Grammar School.
  • D. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • E. George Wakefield
    George Wakefield was the father of the English scholar and controversialist Gilbert Wakefield.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b110fcc8190a09e8ac5d98e399e completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb98e6008190a73c76c50aa7ed23 completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfeccb612881908d57fffa968c605a completed April 3, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfeef92dc08190b85694a79e1f905d completed April 3, 2026, 4:46 p.m.
Created at: March 30, 2026, 7:09 p.m.