Triple
T3643033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heraclius |
E77233
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Martina
Martina was a Byzantine empress and the second wife of Emperor Heraclius, known for her controversial influence at court and her role in the empire’s turbulent 7th-century politics.
|
E375082
|
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: Martina | Statement: [Heraclius, spouse, Martina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martina Context triple: [Heraclius, spouse, Martina]
-
A.
Renata
Renata is a young Venetian woman who becomes the poignant love interest of an aging American colonel in Ernest Hemingway’s novel "Across the River and Into the Trees."
-
B.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
C.
Marta
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
-
D.
Marta
Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
-
E.
Martina Martini
Martina Martini is an individual notable for sharing the surname associated with the famous Martini brand or family name.
- 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: Martina Triple: [Heraclius, spouse, Martina]
Generated description
Martina was a Byzantine empress and the second wife of Emperor Heraclius, known for her controversial influence at court and her role in the empire’s turbulent 7th-century politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martina Target entity description: Martina was a Byzantine empress and the second wife of Emperor Heraclius, known for her controversial influence at court and her role in the empire’s turbulent 7th-century politics.
-
A.
Renata
Renata is a young Venetian woman who becomes the poignant love interest of an aging American colonel in Ernest Hemingway’s novel "Across the River and Into the Trees."
-
B.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
C.
Marta
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
-
D.
Marta
Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
-
E.
Martina Martini
Martina Martini is an individual notable for sharing the surname associated with the famous Martini brand or family name.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35acf2c81908f60168e93b773b1 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f2e464881909d62dd2fad811a83 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b45092464c8190b9ad6db8c8845026 |
completed | March 13, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b450f261548190b5cd667b35453dcb |
completed | March 13, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:24 p.m.