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.