Triple
T5987070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Brook |
E133253
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Irina Brook
Irina Brook is a British-French theatre director and actress known for her innovative stage productions and for continuing the artistic legacy of her renowned theatrical family.
|
E598416
|
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: Irina Brook | Statement: [Peter Brook, child, Irina Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irina Brook Context triple: [Peter Brook, child, Irina Brook]
-
A.
Irina Prozorova
Irina Prozorova is the youngest of the three Prozorov sisters in Anton Chekhov’s play "Three Sisters," embodying youthful idealism, longing, and the hope for a more meaningful life in Moscow.
-
B.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
C.
Irina Sobyanina
Irina Sobyanina is the former wife of Sergei Sobyanin, the long-serving mayor of Moscow and prominent Russian politician.
-
D.
Tania Chernova
Tania Chernova is a Soviet sniper and love interest of Vasily Zaitsev portrayed in the World War II film "Enemy at the Gates."
-
E.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
- 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: Irina Brook Triple: [Peter Brook, child, Irina Brook]
Generated description
Irina Brook is a British-French theatre director and actress known for her innovative stage productions and for continuing the artistic legacy of her renowned theatrical family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irina Brook Target entity description: Irina Brook is a British-French theatre director and actress known for her innovative stage productions and for continuing the artistic legacy of her renowned theatrical family.
-
A.
Irina Prozorova
Irina Prozorova is the youngest of the three Prozorov sisters in Anton Chekhov’s play "Three Sisters," embodying youthful idealism, longing, and the hope for a more meaningful life in Moscow.
-
B.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
C.
Irina Sobyanina
Irina Sobyanina is the former wife of Sergei Sobyanin, the long-serving mayor of Moscow and prominent Russian politician.
-
D.
Tania Chernova
Tania Chernova is a Soviet sniper and love interest of Vasily Zaitsev portrayed in the World War II film "Enemy at the Gates."
-
E.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc38a308190a368c5c787a5fc64 |
completed | March 22, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673ea34ec81909b2391a690ed502e |
completed | March 27, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69c675412f18819094134746faa411ba |
completed | March 27, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6758854488190b0dfc4154b1660bb |
completed | March 27, 2026, 12:18 p.m. |
Created at: March 22, 2026, 4:04 p.m.