Triple

T16331372
Position Surface form Disambiguated ID Type / Status
Subject Crashing Towers E396559 entity
Predicate featuresActor P15562 FINISHED
Object Jack Low
Jack Low is an actor known for his role in the film "Crashing Towers."
 E1207842 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: Jack Low | Statement: [Crashing Towers, featuresActor, Jack Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jack Low
Context triple: [Crashing Towers, featuresActor, Jack Low]
  • A. Frank Lowe
    Frank Lowe was an American free jazz saxophonist known for his intense, avant-garde style and collaborations with leading figures of the 1960s and 1970s jazz avant-garde.
  • B. Leonard Lowe
    Leonard Lowe is a patient with encephalitis lethargica whose temporary revival through experimental treatment forms the emotional core of Oliver Sacks’ memoir and its film adaptation "Awakenings."
  • C. Bill Lowry
    Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
  • D. Daniel Low
    Daniel Low is known primarily as the son of George M. Low, the prominent NASA engineer and administrator involved in the Apollo program.
  • E. John Lowin
    John Lowin was a prominent early 17th-century English actor associated with Shakespeare’s company, known for performing major roles in Jacobean and Caroline drama.
  • 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: Jack Low
Triple: [Crashing Towers, featuresActor, Jack Low]
Generated description
Jack Low is an actor known for his role in the film "Crashing Towers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jack Low
Target entity description: Jack Low is an actor known for his role in the film "Crashing Towers."
  • A. Frank Lowe
    Frank Lowe was an American free jazz saxophonist known for his intense, avant-garde style and collaborations with leading figures of the 1960s and 1970s jazz avant-garde.
  • B. Leonard Lowe
    Leonard Lowe is a patient with encephalitis lethargica whose temporary revival through experimental treatment forms the emotional core of Oliver Sacks’ memoir and its film adaptation "Awakenings."
  • C. Bill Lowry
    Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
  • D. Daniel Low
    Daniel Low is known primarily as the son of George M. Low, the prominent NASA engineer and administrator involved in the Apollo program.
  • E. John Lowin
    John Lowin was a prominent early 17th-century English actor associated with Shakespeare’s company, known for performing major roles in Jacobean and Caroline drama.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002613c0e88190b91da8eba683c864 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0027854ce48190ad3fb09ecd7e2b9e completed May 10, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0029f138d88190bf240ca524d9ad0a completed May 10, 2026, 6:47 a.m.
Created at: April 10, 2026, 5:07 a.m.