Triple
T11587523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Marais |
E274795
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Rodogune (stage role)
Rodogune (stage role) is a prominent theatrical character famously portrayed by French actor Jean Marais in a celebrated stage production.
|
E934973
|
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: Rodogune (stage role) | Statement: [Jean Marais, notableWork, Rodogune (stage role)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodogune (stage role) Context triple: [Jean Marais, notableWork, Rodogune (stage role)]
-
A.
Rog
Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
-
B.
Shagawu Ron
Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
-
C.
En-rogel
En-rogel is an ancient spring located just outside Jerusalem, mentioned in the Hebrew Bible as a notable landmark and gathering place.
-
D.
Rohuneeme
Rohuneeme is a coastal village in northern Estonia known for its scenic peninsula, beaches, and proximity to the capital city Tallinn.
-
E.
Ronin
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
- 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: Rodogune (stage role) Triple: [Jean Marais, notableWork, Rodogune (stage role)]
Generated description
Rodogune (stage role) is a prominent theatrical character famously portrayed by French actor Jean Marais in a celebrated stage production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodogune (stage role) Target entity description: Rodogune (stage role) is a prominent theatrical character famously portrayed by French actor Jean Marais in a celebrated stage production.
-
A.
Rog
Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
-
B.
Shagawu Ron
Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
-
C.
En-rogel
En-rogel is an ancient spring located just outside Jerusalem, mentioned in the Hebrew Bible as a notable landmark and gathering place.
-
D.
Rohuneeme
Rohuneeme is a coastal village in northern Estonia known for its scenic peninsula, beaches, and proximity to the capital city Tallinn.
-
E.
Ronin
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7143ee0548190b71ddae0ab7c68cb |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720fb192881909c129f93c8b88f42 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e7233efb6c81909dbf1aef080f5598 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.