Triple
T15002168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Heraclius |
E374116
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Martina |
E375082
|
NE FINISHED |
How this triple was built (2 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: [House of Heraclius, hasMember, Martina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martina Context triple: [House of Heraclius, hasMember, Martina]
-
A.
Martina
chosen
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.
-
B.
Martina
Martina is a feminine given name of Latin origin, commonly used in many European and Spanish-speaking countries.
-
C.
Martina Jones
Martina Jones is known as the wife of Welsh actor and comedian Rob Brydon.
-
D.
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."
-
E.
Renata
Renata is a vampire in the Twilight series who serves the Volturi as a powerful bodyguard with a psychic ability to repel physical attacks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969e2d888190afbb9c8fd8a707c8 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.