Triple

T10367434
Position Surface form Disambiguated ID Type / Status
Subject Human Traffic E244291 entity
Predicate cinematographyBy P1953 FINISHED
Object Raszar
Raszar is a cinematographer known for his work on the film "Human Traffic."
 E860613 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: Raszar | Statement: [Human Traffic, cinematographyBy, Raszar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raszar
Context triple: [Human Traffic, cinematographyBy, Raszar]
  • A. Rzarector
    Rzarector is an early stage name of Prince Rakeem, better known as RZA, the influential producer, rapper, and de facto leader of the Wu-Tang Clan.
  • B. Rodach
    The Rodach is a river in Germany that flows through northern Bavaria and Thuringia before joining the Main River.
  • C. Araglas
    Araglas is a lesser-known Dúnedain noble of Númenórean descent from J.R.R. Tolkien’s legendarium, belonging to the royal line of Isildur.
  • D. Guiderius
    Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
  • E. Maurusz
    Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
  • 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: Raszar
Triple: [Human Traffic, cinematographyBy, Raszar]
Generated description
Raszar is a cinematographer known for his work on the film "Human Traffic."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raszar
Target entity description: Raszar is a cinematographer known for his work on the film "Human Traffic."
  • A. Rzarector
    Rzarector is an early stage name of Prince Rakeem, better known as RZA, the influential producer, rapper, and de facto leader of the Wu-Tang Clan.
  • B. Rodach
    The Rodach is a river in Germany that flows through northern Bavaria and Thuringia before joining the Main River.
  • C. Araglas
    Araglas is a lesser-known Dúnedain noble of Númenórean descent from J.R.R. Tolkien’s legendarium, belonging to the royal line of Isildur.
  • D. Guiderius
    Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
  • E. Maurusz
    Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96fd6f081908f630a16106996d9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79546b078819089dec7628c95a681 completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, noon