Triple

T23494215
Position Surface form Disambiguated ID Type / Status
Subject Henry Armetta E571657 entity
Predicate givenName P17 FINISHED
Object Henry
Henry is the given name of Henry Armetta, an Italian-American character actor known for his comic portrayals of stereotypical Italian immigrants in early 20th-century Hollywood films.
E1588536 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: Henry | Statement: [Henry Armetta, givenName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Henry Armetta, givenName, Henry]
  • A. Henry
    Henry was a French royal prince who served as Archbishop of Reims, a prominent ecclesiastical and political position in medieval France.
  • B. Henry
    Henry "Raleigh" Gordon was an American musician best known as a member of the 1950s doo-wop group The Red Caps.
  • C. Henry
    Henry is the given name of Gotthilf Henry Ernest Muhlenberg, an American Lutheran clergyman and pioneering botanist known for his work in early American plant taxonomy.
  • D. Henry
    Henry is the given first name of H. Frederick Gregory, an American NASA astronaut and former Air Force test pilot.
  • E. Henry
    Henry is the middle name of John Henry Moore, an American politician and jurist who served as a United States federal judge.
  • 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: Henry
Triple: [Henry Armetta, givenName, Henry]
Generated description
Henry is the given name of Henry Armetta, an Italian-American character actor known for his comic portrayals of stereotypical Italian immigrants in early 20th-century Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is the given name of Henry Armetta, an Italian-American character actor known for his comic portrayals of stereotypical Italian immigrants in early 20th-century Hollywood films.
  • A. Henry
    Henry is the given name of American actor, director, and producer Henry Warren Beatty, a prominent figure in Hollywood cinema.
  • B. Henry
    Henry is the given name of American silent film actor Henry B. Walthall, known for his roles in early 20th-century cinema.
  • C. Henry
    Henry is the given first name of American actor, producer, and author Keefe Brasselle.
  • D. Henry
    Henry is the given name of the fictional character Henry F. Potter, the wealthy and antagonistic banker in the classic film "It's a Wonderful Life."
  • E. Henry
    Henry is the given name of Henry Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7de1ab88190b6c2441c63a99713 completed April 29, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c824940608190b47742c2733a206d completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6f229308190bf72b52fd44144d3 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7e9e9988190ac3bedb9ecb8ce06 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6:05 p.m.