Triple
T8739387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard LaGravenese |
E207463
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
LaGravenese
LaGravenese is the surname of American screenwriter and film director Richard LaGravenese, known for works such as "The Fisher King" and "The Bridges of Madison County."
|
E754882
|
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: LaGravenese | Statement: [Richard LaGravenese, familyName, LaGravenese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaGravenese Context triple: [Richard LaGravenese, familyName, LaGravenese]
-
A.
Bogdanovich
Bogdanovich is a small industrial town in Sverdlovsk Oblast, Russia, known for its railway junction and regional manufacturing.
-
B.
Cronenbourg
Cronenbourg is a district of Strasbourg, France, known as a residential and industrial area that is integrated into the city’s public transport network.
-
C.
Paolo Sorrentino
Paolo Sorrentino is an acclaimed Italian film director and screenwriter known for his visually sumptuous, introspective dramas such as "The Great Beauty" and "Youth."
-
D.
Tuesday Gaghan
Tuesday Gaghan is a child of American screenwriter and director Stephen Gaghan.
-
E.
Bressan
Bressan is the demonym for inhabitants of the French town of Bourg-en-Bresse and its surrounding region.
- 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: LaGravenese Triple: [Richard LaGravenese, familyName, LaGravenese]
Generated description
LaGravenese is the surname of American screenwriter and film director Richard LaGravenese, known for works such as "The Fisher King" and "The Bridges of Madison County."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LaGravenese Target entity description: LaGravenese is the surname of American screenwriter and film director Richard LaGravenese, known for works such as "The Fisher King" and "The Bridges of Madison County."
-
A.
Bogdanovich
Bogdanovich is a small industrial town in Sverdlovsk Oblast, Russia, known for its railway junction and regional manufacturing.
-
B.
Cronenbourg
Cronenbourg is a district of Strasbourg, France, known as a residential and industrial area that is integrated into the city’s public transport network.
-
C.
Paolo Sorrentino
Paolo Sorrentino is an acclaimed Italian film director and screenwriter known for his visually sumptuous, introspective dramas such as "The Great Beauty" and "Youth."
-
D.
Tuesday Gaghan
Tuesday Gaghan is a child of American screenwriter and director Stephen Gaghan.
-
E.
Bressan
Bressan is the demonym for inhabitants of the French town of Bourg-en-Bresse and its surrounding region.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42d5dd508190854fbbc2541aa819 |
completed | April 3, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69cf440051bc8190ad9d649150187932 |
completed | April 3, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf4473ee0081908ed22eb0d855d7dd |
completed | April 3, 2026, 4:39 a.m. |
Created at: March 30, 2026, 6:38 p.m.