Triple
T382637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time of Troubles |
E8712
|
entity |
| Predicate | significantPerson |
P643
|
FINISHED |
| Object |
False Dmitry I
False Dmitry I was a pretender to the Russian throne who briefly ruled as tsar from 1605 to 1606 during the Time of Troubles before being overthrown and killed.
|
E48082
|
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: False Dmitry I | Statement: [Time of Troubles, significantPerson, False Dmitry I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: False Dmitry I Context triple: [Time of Troubles, significantPerson, False Dmitry I]
-
A.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
B.
Mikhail
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
C.
Handsome Dan
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
D.
Andrei
Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
-
E.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
- 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: False Dmitry I Triple: [Time of Troubles, significantPerson, False Dmitry I]
Generated description
False Dmitry I was a pretender to the Russian throne who briefly ruled as tsar from 1605 to 1606 during the Time of Troubles before being overthrown and killed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: False Dmitry I Target entity description: False Dmitry I was a pretender to the Russian throne who briefly ruled as tsar from 1605 to 1606 during the Time of Troubles before being overthrown and killed.
-
A.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
B.
Mikhail
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
C.
Handsome Dan
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
D.
Andrei
Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
-
E.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fb0100fc8190819b977bb7a98d7f |
completed | March 1, 2026, 8:38 a.m. |
| NEDg | Description generation | batch_69a3fb6569e881909d52f07a4207ed24 |
completed | March 1, 2026, 8:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3fbdfdfcc81909ae03736623594d5 |
completed | March 1, 2026, 8:42 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.