Triple
T19237130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Penn Warren |
E481027
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Emma Brescia
Emma Brescia was the wife of American poet and novelist Robert Penn Warren.
|
E1365819
|
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: Emma Brescia | Statement: [Robert Penn Warren, spouse, Emma Brescia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Brescia Context triple: [Robert Penn Warren, spouse, Emma Brescia]
-
A.
Margherita Boniver
Margherita Boniver is an Italian politician known for her long parliamentary career and roles in several centrist and center-right parties, including Christian Democracy and its successors.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Angelica Galante
Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Mia Serafino
Mia Serafino is an American actress known for her work in film and television, including roles in independent movies and network sitcoms.
-
E.
Amelia Rosselli
Amelia Rosselli was a 20th-century Italian poet and translator known for her experimental, multilingual verse and her association with the postwar avant-garde.
- 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: Emma Brescia Triple: [Robert Penn Warren, spouse, Emma Brescia]
Generated description
Emma Brescia was the wife of American poet and novelist Robert Penn Warren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Brescia Target entity description: Emma Brescia was the wife of American poet and novelist Robert Penn Warren.
-
A.
Margherita Boniver
Margherita Boniver is an Italian politician known for her long parliamentary career and roles in several centrist and center-right parties, including Christian Democracy and its successors.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Angelica Galante
Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Mia Serafino
Mia Serafino is an American actress known for her work in film and television, including roles in independent movies and network sitcoms.
-
E.
Amelia Rosselli
Amelia Rosselli was a 20th-century Italian poet and translator known for her experimental, multilingual verse and her association with the postwar avant-garde.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faee7324819090a4c56147cb0bf5 |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705d7e1348190b3220603270ab03c |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a07069434cc8190a91be8afb5bd88c8 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07074bd4288190b2f51e0392efcdc3 |
completed | May 15, 2026, 11:45 a.m. |
Created at: April 10, 2026, 1:26 p.m.