Triple

T11343900
Position Surface form Disambiguated ID Type / Status
Subject Jon Hamm E268669 entity
Predicate familyName P18 FINISHED
Object Hamm
Hamm is the surname of American actor Jon Hamm, best known for his role as Don Draper on the television series "Mad Men."
 E920608 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: Hamm | Statement: [Jon Hamm, familyName, Hamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamm
Context triple: [Jon Hamm, familyName, Hamm]
  • A. Hamm
    Hamm is a city in North Rhine-Westphalia, Germany, known for its industrial heritage and strategic location in the Ruhr region.
  • B. Hamm
    Hamm is the wisecracking plastic piggy bank toy from the Toy Story film series, known for his sarcastic humor and loyalty to Andy’s other toys.
  • C. Khamûl
    Khamûl is one of the chief Ringwraiths in J.R.R. Tolkien’s legendarium, second in power only to the Witch-king of Angmar.
  • D. Hanno the Great
    Hanno the Great was a powerful Carthaginian statesman and military leader known for his influential role in Carthage’s politics during the Punic Wars era.
  • E. Huwarin
    Huwarin is a town in present-day Syria historically noted as the place where the Umayyad caliph Yazid I died.
  • 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: Hamm
Triple: [Jon Hamm, familyName, Hamm]
Generated description
Hamm is the surname of American actor Jon Hamm, best known for his role as Don Draper on the television series "Mad Men."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamm
Target entity description: Hamm is the surname of American actor Jon Hamm, best known for his role as Don Draper on the television series "Mad Men."
  • A. Hamm
    Hamm is a city in North Rhine-Westphalia, Germany, known for its industrial heritage and strategic location in the Ruhr region.
  • B. Hamm
    Hamm is the wisecracking plastic piggy bank toy from the Toy Story film series, known for his sarcastic humor and loyalty to Andy’s other toys.
  • C. Khamûl
    Khamûl is one of the chief Ringwraiths in J.R.R. Tolkien’s legendarium, second in power only to the Witch-king of Angmar.
  • D. Hanno the Great
    Hanno the Great was a powerful Carthaginian statesman and military leader known for his influential role in Carthage’s politics during the Punic Wars era.
  • E. Huwarin
    Huwarin is a town in present-day Syria historically noted as the place where the Umayyad caliph Yazid I died.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5436e9d848190a7e585351d24df03 completed April 19, 2026, 9:04 p.m.
NEDg Description generation batch_69e5474aad3481909c1afb385cb5889b completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54edb9ac08190a760de11857e791c completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.