Triple
T1535722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massacre of Vassy |
E32544
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Vassy
Vassy is a commune in northeastern France historically known as the site of the 1562 Massacre of Vassy, an event that helped ignite the French Wars of Religion.
|
E174590
|
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: Vassy | Statement: [Massacre of Vassy, location, Vassy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vassy Context triple: [Massacre of Vassy, location, Vassy]
-
A.
Kin Vassy
Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
-
B.
Antoshka
Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
-
C.
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.
-
D.
Nadezhda
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
-
E.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
- 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: Vassy Triple: [Massacre of Vassy, location, Vassy]
Generated description
Vassy is a commune in northeastern France historically known as the site of the 1562 Massacre of Vassy, an event that helped ignite the French Wars of Religion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vassy Target entity description: Vassy is a commune in northeastern France historically known as the site of the 1562 Massacre of Vassy, an event that helped ignite the French Wars of Religion.
-
A.
Kin Vassy
Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
-
B.
Antoshka
Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
-
C.
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.
-
D.
Nadezhda
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
-
E.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90828cdf08190aa404a0c11335c7b |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad295da0988190b1dc171bcdfe4d71 |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad29dc9fd08190b67527f0662c92dc |
completed | March 8, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a4d71a88190b67ed21beebbb479 |
completed | March 8, 2026, 7:50 a.m. |
Created at: March 4, 2026, 7:26 p.m.