Triple
T7134440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zalman Shazar |
E166269
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Mir
Mir is a historic town in present-day Belarus, known for its multicultural heritage and the UNESCO-listed Mir Castle Complex.
|
E644775
|
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: Mir | Statement: [Zalman Shazar, placeOfBirth, Mir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mir Context triple: [Zalman Shazar, placeOfBirth, Mir]
-
A.
Mir
Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
-
B.
Mir
Mir is a traditional South Asian noble title historically used by rulers and aristocrats, particularly in regions such as Sindh under dynasties like the Talpurs.
-
C.
Mari
Mari is a character in Paulo Coelho's novel "Veronika Decides to Die," portrayed as a fellow patient in the mental institution who struggles with anxiety and societal expectations.
-
D.
Mari
Mari is a Uralic language spoken by the Mari people, primarily in the Mari El Republic of Russia.
-
E.
Mari
Mari is a feminine given name, often used as a short form of names like Marigold, Mary, or Maria in various cultures.
- 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: Mir Triple: [Zalman Shazar, placeOfBirth, Mir]
Generated description
Mir is a historic town in present-day Belarus, known for its multicultural heritage and the UNESCO-listed Mir Castle Complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mir Target entity description: Mir is a historic town in present-day Belarus, known for its multicultural heritage and the UNESCO-listed Mir Castle Complex.
-
A.
Mir
Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
-
B.
Mir
Mir is a traditional South Asian noble title historically used by rulers and aristocrats, particularly in regions such as Sindh under dynasties like the Talpurs.
-
C.
Mari
Mari is a Uralic language spoken by the Mari people, primarily in the Mari El Republic of Russia.
-
D.
Mari
Mari is a character in Paulo Coelho's novel "Veronika Decides to Die," portrayed as a fellow patient in the mental institution who struggles with anxiety and societal expectations.
-
E.
Mari
Mari is a feminine given name, often used as a short form of names like Marigold, Mary, or Maria in various cultures.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e68f15bc8190a4d82b8ee388f497 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad90bdd881908430ee9f7aa4f9ac |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae1bde448190b546d292d213c8c9 |
completed | March 28, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ae73e1a88190a18488b3155b2542 |
completed | March 28, 2026, 10:33 a.m. |
Created at: March 27, 2026, 2:45 p.m.