Triple
T1371538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greyhound Hall of Fame |
E30121
|
entity |
| Predicate | hasNotableInductee |
P304
|
FINISHED |
| Object |
Molotov
Molotov was a legendary racing greyhound renowned for his exceptional speed and success on the track.
|
E112286
|
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: Molotov | Statement: [Greyhound Hall of Fame, hasNotableInductee, Molotov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molotov Context triple: [Greyhound Hall of Fame, hasNotableInductee, Molotov]
-
A.
Molotov
Molotov is a Russian surname most famously associated with Soviet politician Vyacheslav Molotov, whose name became linked to the improvised incendiary weapon known as the Molotov cocktail.
-
B.
Moskovitz
Moskovitz is the surname of Dustin Moskovitz, an American entrepreneur best known as a co-founder of Facebook and Asana.
-
C.
Ilyich
Ilyich is a Russian patronymic name meaning "son of Ilya," famously associated with Soviet leaders such as Vladimir Ilyich Lenin and Leonid Ilyich Brezhnev.
-
D.
Petro
Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
-
E.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
- 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: Molotov Triple: [Greyhound Hall of Fame, hasNotableInductee, Molotov]
Generated description
Molotov was a legendary racing greyhound renowned for his exceptional speed and success on the track.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molotov Target entity description: Molotov was a legendary racing greyhound renowned for his exceptional speed and success on the track.
-
A.
Molotov
chosen
Molotov is a Russian surname most famously associated with Soviet politician Vyacheslav Molotov, whose name became linked to the improvised incendiary weapon known as the Molotov cocktail.
-
B.
Moskovitz
Moskovitz is the surname of Dustin Moskovitz, an American entrepreneur best known as a co-founder of Facebook and Asana.
-
C.
Ilyich
Ilyich is a Russian patronymic name meaning "son of Ilya," famously associated with Soviet leaders such as Vladimir Ilyich Lenin and Leonid Ilyich Brezhnev.
-
D.
Petro
Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
-
E.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
- F. None of above.
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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f314c081909c0ab80397d96abb |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd481de608190bed1dc385209320e |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd6a03b70819096bdf7ec3b447756 |
completed | March 8, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd71971448190940136b8a44040be |
completed | March 8, 2026, 1:55 a.m. |
Created at: March 1, 2026, 7:57 p.m.