Triple

T7071890
Position Surface form Disambiguated ID Type / Status
Subject James Cagney E164718 entity
Predicate familyName P18 FINISHED
Object Cagney
Cagney is a surname most famously associated with American actor James Cagney, a major Hollywood star of the 20th century.
 E639662 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: Cagney | Statement: [James Cagney, familyName, Cagney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cagney
Context triple: [James Cagney, familyName, Cagney]
  • A. Tom Canty
    Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
  • B. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • C. Braugher
    Braugher is the surname of Andre Braugher, an acclaimed American actor known for his roles in "Homicide: Life on the Street" and "Brooklyn Nine-Nine."
  • D. Mayo Methot Bogart
    Mayo Methot Bogart was an American stage and film actress best known as the third wife of actor Humphrey Bogart and for her roles in 1930s Hollywood films.
  • E. Donaghey
    Donaghey is a surname of Irish origin borne by various individuals, including those involved in notable historical and political events.
  • 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: Cagney
Triple: [James Cagney, familyName, Cagney]
Generated description
Cagney is a surname most famously associated with American actor James Cagney, a major Hollywood star of the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cagney
Target entity description: Cagney is a surname most famously associated with American actor James Cagney, a major Hollywood star of the 20th century.
  • A. Tom Canty
    Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
  • B. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • C. Braugher
    Braugher is the surname of Andre Braugher, an acclaimed American actor known for his roles in "Homicide: Life on the Street" and "Brooklyn Nine-Nine."
  • D. Mayo Methot Bogart
    Mayo Methot Bogart was an American stage and film actress best known as the third wife of actor Humphrey Bogart and for her roles in 1930s Hollywood films.
  • E. Donaghey
    Donaghey is a surname of Irish origin borne by various individuals, including those involved in notable historical and political events.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945fdafc81909c265373627af4e8 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7950271a48190b6e0c3f307ebdc5a completed March 28, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7957439b8819081fb2721bbd8b65c completed March 28, 2026, 8:46 a.m.
Created at: March 27, 2026, 2:39 p.m.