Triple
T317490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lorre |
E7738
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Celia Lovsky
Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
|
E40891
|
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: Celia Lovsky | Statement: [Peter Lorre, spouse, Celia Lovsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celia Lovsky Context triple: [Peter Lorre, spouse, Celia Lovsky]
-
A.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
-
B.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
C.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
-
D.
Sophia Julian
Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
-
E.
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."
- 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: Celia Lovsky Triple: [Peter Lorre, spouse, Celia Lovsky]
Generated description
Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celia Lovsky Target entity description: Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
-
A.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
-
B.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
C.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
-
D.
Sophia Julian
Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
-
E.
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."
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea65ca7081908093e6aaaf2d34f7 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b8d7d88190b43f7b6b0289445f |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c964b7a48190afa7cada4a499739 |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c9bc3eec81909e6d1b7af6cf7d58 |
completed | March 1, 2026, 5:08 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.