Triple

T11027025
Position Surface form Disambiguated ID Type / Status
Subject Donn Cambern E260651 entity
Predicate familyName P18 FINISHED
Object Cambern
Cambern is a surname most notably associated with American film editor Donn Cambern.
 E899727 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: Cambern | Statement: [Donn Cambern, familyName, Cambern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cambern
Context triple: [Donn Cambern, familyName, Cambern]
  • A. Thirroul
    Thirroul is a coastal suburb and beachside town in the northern Illawarra region of New South Wales, Australia, known for its scenic shoreline and proximity to the Illawarra Escarpment.
  • B. Bonville
    Bonville is a small rural locality in New South Wales, Australia, known for its scenic countryside and proximity to the coastal city of Coffs Harbour.
  • C. Vedast of Arras
    Vedast of Arras was a 6th-century Frankish bishop and Christian saint venerated for his missionary work in northern Gaul and his role in the early evangelization of the region around Arras.
  • D. Cambrésis
    Cambrésis is a historic region in northern France centered around the city of Cambrai, known for its medieval bishopric and strategic importance in European conflicts.
  • E. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • 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: Cambern
Triple: [Donn Cambern, familyName, Cambern]
Generated description
Cambern is a surname most notably associated with American film editor Donn Cambern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cambern
Target entity description: Cambern is a surname most notably associated with American film editor Donn Cambern.
  • A. Thirroul
    Thirroul is a coastal suburb and beachside town in the northern Illawarra region of New South Wales, Australia, known for its scenic shoreline and proximity to the Illawarra Escarpment.
  • B. Bonville
    Bonville is a small rural locality in New South Wales, Australia, known for its scenic countryside and proximity to the coastal city of Coffs Harbour.
  • C. Vedast of Arras
    Vedast of Arras was a 6th-century Frankish bishop and Christian saint venerated for his missionary work in northern Gaul and his role in the early evangelization of the region around Arras.
  • D. Cambrésis
    Cambrésis is a historic region in northern France centered around the city of Cambrai, known for its medieval bishopric and strategic importance in European conflicts.
  • E. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d190f08190bcb5949ee24306f1 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3753451e08190bc42ab99d01926f9 completed April 18, 2026, 12:12 p.m.
NEDg Description generation batch_69e37ab93e0881909d98f96073a55ae8 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c97b34081908b274ff52a12d450 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.