Triple
T22481442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuzenbach |
E555773
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object |
Solony
Solony is a character in Anton Chekhov’s play "Three Sisters," a somewhat eccentric and melancholic army officer who forms part of the drama’s complex web of unrequited affections and philosophical conversations.
|
E1539415
|
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: Solony | Statement: [Tuzenbach, relationshipWith, Solony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solony Context triple: [Tuzenbach, relationshipWith, Solony]
-
A.
Scicolone
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
B.
Ulitsa Kominterna
Ulitsa Kominterna was a former name of Moscow’s Aleksandrovsky Sad metro station, located near the Kremlin and the Alexander Garden.
-
C.
Seresin
Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
-
D.
Huslia
Huslia is a small, predominantly Koyukon Athabascan village in interior Alaska known for its subsistence lifestyle and dog mushing heritage.
-
E.
Samor
Samor is a regional dialect of the Tugen language spoken by the Tugen people of Kenya.
- 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: Solony Triple: [Tuzenbach, relationshipWith, Solony]
Generated description
Solony is a character in Anton Chekhov’s play "Three Sisters," a somewhat eccentric and melancholic army officer who forms part of the drama’s complex web of unrequited affections and philosophical conversations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solony Target entity description: Solony is a character in Anton Chekhov’s play "Three Sisters," a somewhat eccentric and melancholic army officer who forms part of the drama’s complex web of unrequited affections and philosophical conversations.
-
A.
Scicolone
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
B.
Ulitsa Kominterna
Ulitsa Kominterna was a former name of Moscow’s Aleksandrovsky Sad metro station, located near the Kremlin and the Alexander Garden.
-
C.
Seresin
Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
-
D.
Huslia
Huslia is a small, predominantly Koyukon Athabascan village in interior Alaska known for its subsistence lifestyle and dog mushing heritage.
-
E.
Samor
Samor is a regional dialect of the Tugen language spoken by the Tugen people of Kenya.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c397b248190b36c2fbfa6489693 |
completed | April 29, 2026, 1:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b12645b2c819080826a02b6151429 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14b7acac819090bfd6144df84be6 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b154f7e0c8190b0ca64d582982d62 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:49 p.m.