Triple

T13988856
Position Surface form Disambiguated ID Type / Status
Subject Man on a Tightrope E336513 entity
Predicate character P662 FINISHED
Object Zama
Zama is a fictional character appearing in the film "Man on a Tightrope."
 E1073490 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: Zama | Statement: [Man on a Tightrope, character, Zama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zama
Context triple: [Man on a Tightrope, character, Zama]
  • A. Zama
    Zama is a city in Kanagawa Prefecture, Japan, known for its residential character and proximity to major urban centers in the Greater Tokyo area.
  • B. Brida
    Brida is a novel by Brazilian author Paulo Coelho that follows a young Irish woman’s spiritual journey as she explores witchcraft, love, and self-discovery.
  • C. Achamán
    Achamán is the supreme creator god in the traditional religion of the Guanche people of Tenerife in the Canary Islands.
  • D. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • E. Cartoceto
    Cartoceto is a small Italian town and comune in the Marche region, known for its historic hilltop setting and production of high-quality olive oil.
  • 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: Zama
Triple: [Man on a Tightrope, character, Zama]
Generated description
Zama is a fictional character appearing in the film "Man on a Tightrope."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zama
Target entity description: Zama is a fictional character appearing in the film "Man on a Tightrope."
  • A. Zama
    Zama is a city in Kanagawa Prefecture, Japan, known for its residential character and proximity to major urban centers in the Greater Tokyo area.
  • B. Brida
    Brida is a novel by Brazilian author Paulo Coelho that follows a young Irish woman’s spiritual journey as she explores witchcraft, love, and self-discovery.
  • C. Achamán
    Achamán is the supreme creator god in the traditional religion of the Guanche people of Tenerife in the Canary Islands.
  • D. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • E. Cartoceto
    Cartoceto is a small Italian town and comune in the Marche region, known for its historic hilltop setting and production of high-quality olive oil.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea537408190bb9d35963886803f completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9604cc819088cde0ad8271ad48 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbad35be6c8190aa329fa947cbdcd9 completed May 6, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69fbae42ef2c8190b653d95de94042bc completed May 6, 2026, 9:10 p.m.
Created at: April 9, 2026, 10:18 p.m.