Triple

T7870853
Position Surface form Disambiguated ID Type / Status
Subject Leonard Tose E182732 entity
Predicate familyName P18 FINISHED
Object Tose
Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
 E697715 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: Tose | Statement: [Leonard Tose, familyName, Tose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tose
Context triple: [Leonard Tose, familyName, Tose]
  • A. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • B. Tosora
    Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
  • C. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • D. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • E. Ṭūs
    Ṭūs is an ancient city in northeastern Iran, historically significant as a cultural and intellectual center and best known as the birthplace and burial place of the Persian poet Ferdowsi.
  • 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: Tose
Triple: [Leonard Tose, familyName, Tose]
Generated description
Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tose
Target entity description: Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • A. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • B. Tosora
    Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
  • C. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • D. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • E. Ṭūs
    Ṭūs is an ancient city in northeastern Iran, historically significant as a cultural and intellectual center and best known as the birthplace and burial place of the Persian poet Ferdowsi.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb384a285881908a5b2de278f9556f completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b6bc7248190adbf4377c52e16a9 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb5f1daac88190a162132bbd40fdc6 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb768ac1a48190bc6a59a64adf7144 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:55 p.m.