Triple

T17037329
Position Surface form Disambiguated ID Type / Status
Subject Dan Trachtenberg E413354 entity
Predicate familyName P18 FINISHED
Object Trachtenberg
Trachtenberg is a surname most notably associated with American filmmaker Dan Trachtenberg, known for directing genre films and television.
 E1246001 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: Trachtenberg | Statement: [Dan Trachtenberg, familyName, Trachtenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trachtenberg
Context triple: [Dan Trachtenberg, familyName, Trachtenberg]
  • A. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • B. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • C. Natanson
    Natanson is a surname most notably associated with Mark Natanson, a prominent Russian revolutionary and political activist of the late 19th and early 20th centuries.
  • D. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • E. Hirschberg
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • 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: Trachtenberg
Triple: [Dan Trachtenberg, familyName, Trachtenberg]
Generated description
Trachtenberg is a surname most notably associated with American filmmaker Dan Trachtenberg, known for directing genre films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trachtenberg
Target entity description: Trachtenberg is a surname most notably associated with American filmmaker Dan Trachtenberg, known for directing genre films and television.
  • A. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • B. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • C. Natanson
    Natanson is a surname most notably associated with Mark Natanson, a prominent Russian revolutionary and political activist of the late 19th and early 20th centuries.
  • D. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • E. Hirschberg
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f38b58819093af4054c3459726 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5b71f48190b6c865d57668b5d1 completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c2203f0819091a5b4aa7c339585 completed May 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a011cc70cb08190b53b6a7402139f93 completed May 11, 2026, 12:03 a.m.
Created at: April 10, 2026, 5:33 a.m.