Triple
T10738487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heike Makatsch |
E253256
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Heike |
E253255
|
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: Heike | Statement: [Heike Makatsch, givenName, Heike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heike Context triple: [Heike Makatsch, givenName, Heike]
-
A.
Heike
chosen
Heike is a feminine given name of German origin, commonly used in German-speaking countries.
-
B.
Saigō-no-Tsubone
Saigō-no-Tsubone was a prominent Japanese noblewoman and concubine of Tokugawa Ieyasu who became an influential figure in the early Edo period through her role in the Tokugawa shogunate.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
E.
Obihiro
Obihiro is a mid-sized city in eastern Hokkaido, Japan, known for its agricultural production, horse racing, and cold, snowy winters.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710424d8c81908ee9b59d622f2af5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22ed6edc8190beb76bd2971c7cec |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:14 p.m.