Triple

T3133223
Position Surface form Disambiguated ID Type / Status
Subject Alfred Cannan E65465 entity
Predicate familyName P18 FINISHED
Object Cannan
Cannan is a surname of English origin borne by various notable individuals, including politicians, writers, and public figures.
 E330533 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: Cannan | Statement: [Alfred Cannan, familyName, Cannan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cannan
Context triple: [Alfred Cannan, familyName, Cannan]
  • A. Canaan
    Canaan is the ancient Near Eastern land traditionally associated with the biblical Promised Land, encompassing parts of modern-day Israel, Palestine, Lebanon, and surrounding areas.
  • B. Kaneš
    Kaneš was an important ancient Anatolian city, known as a major Assyrian trading colony and archaeological site in central Turkey.
  • C. Hatti
    Hatti was an ancient Anatolian kingdom and cultural region centered in central Turkey, later absorbed into the Hittite Empire.
  • D. Jarudiya
    Jarudiya is an early sub-sect of Zaydi Shia Islam known for its distinctive views on the rightful succession to the Prophet Muhammad and the qualifications of the Imam.
  • E. Cana
    Cana is a small town in the region of Galilee, traditionally known in Christian tradition as the site where Jesus performed his first miracle of turning water into wine.
  • 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: Cannan
Triple: [Alfred Cannan, familyName, Cannan]
Generated description
Cannan is a surname of English origin borne by various notable individuals, including politicians, writers, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cannan
Target entity description: Cannan is a surname of English origin borne by various notable individuals, including politicians, writers, and public figures.
  • A. Canaan
    Canaan is the ancient Near Eastern land traditionally associated with the biblical Promised Land, encompassing parts of modern-day Israel, Palestine, Lebanon, and surrounding areas.
  • B. Kaneš
    Kaneš was an important ancient Anatolian city, known as a major Assyrian trading colony and archaeological site in central Turkey.
  • C. Hatti
    Hatti was an ancient Anatolian kingdom and cultural region centered in central Turkey, later absorbed into the Hittite Empire.
  • D. Jarudiya
    Jarudiya is an early sub-sect of Zaydi Shia Islam known for its distinctive views on the rightful succession to the Prophet Muhammad and the qualifications of the Imam.
  • E. Cana
    Cana is a small town in the region of Galilee, traditionally known in Christian tradition as the site where Jesus performed his first miracle of turning water into wine.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada56104ec8190a14591ed73f3fe83 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f84d8288190b1f48fa0f5c10773 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2102e35b08190ad9ca397f0c937da completed March 12, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b21458b07081909d75886e0d9f88e9 completed March 12, 2026, 1:18 a.m.
Created at: March 8, 2026, 3:04 p.m.