Triple
T1095180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A View from the Bridge |
E24254
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Alfieri
Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
|
E156025
|
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: Alfieri | Statement: [A View from the Bridge, notableCharacter, Alfieri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfieri Context triple: [A View from the Bridge, notableCharacter, Alfieri]
-
A.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Lorenzo
Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
-
C.
Coluccio
Coluccio is an Italian masculine given name most notably borne by the early Renaissance humanist and chancellor Coluccio Salutati.
-
D.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
-
E.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
- 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: Alfieri Triple: [A View from the Bridge, notableCharacter, Alfieri]
Generated description
Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfieri Target entity description: Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
-
A.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Lorenzo
Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
-
C.
Coluccio
Coluccio is an Italian masculine given name most notably borne by the early Renaissance humanist and chancellor Coluccio Salutati.
-
D.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
-
E.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce55b5748190b54b8205a735ae89 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf47541481909f2032cdf8e4272b |
completed | March 8, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accff8af488190a7580cf7c02ceed9 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:42 p.m.