Triple

T1518684
Position Surface form Disambiguated ID Type / Status
Subject Bob Iger E32176 entity
Predicate familyName P18 FINISHED
Object Iger
Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
 E174163 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: Iger | Statement: [Bob Iger, familyName, Iger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iger
Context triple: [Bob Iger, familyName, Iger]
  • A. Inkeri
    Inkeri refers to the Ingrian Finns, a Finnic ethnic group historically inhabiting the Ingria region near Saint Petersburg in northwestern Russia.
  • B. Carroll
    Carroll is a surname most famously associated with Charles Carroll of Carrollton, a prominent American Founding Father and signer of the Declaration of Independence.
  • C. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • D. Griffin
    Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • E. Griffin
    The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
  • 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: Iger
Triple: [Bob Iger, familyName, Iger]
Generated description
Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iger
Target entity description: Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
  • A. Inkeri
    Inkeri refers to the Ingrian Finns, a Finnic ethnic group historically inhabiting the Ingria region near Saint Petersburg in northwestern Russia.
  • B. Carroll
    Carroll is a surname most famously associated with Charles Carroll of Carrollton, a prominent American Founding Father and signer of the Declaration of Independence.
  • C. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • D. Griffin
    Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • E. Griffin
    The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907ed44ac8190953e428c831e24df completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294d01c48190bb2f49ad4f1b0a1a completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a275938819090db4d9ac7274a4d completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a9e50888190bab83785f11135ea completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.