Triple
T14800425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Mignon |
E347892
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Nana (anime) |
E1120767
|
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: Nana (anime) | Statement: [Rose Mignon, appearsIn, Nana (anime)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nana (anime) Context triple: [Rose Mignon, appearsIn, Nana (anime)]
-
A.
Nana (manga)
chosen
Nana is a popular Japanese manga series by Ai Yazawa that follows the intertwined lives and careers of two young women, both named Nana, as they navigate love, friendship, and the Tokyo music scene.
-
B.
Nanikai
Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
-
C.
Nana
Nana was a prominent Chiricahua Apache war leader who fought alongside Geronimo in resistance to U.S. and Mexican military forces in the late 19th century.
-
D.
Nana
Nana is a common Akan given name in Ghana, often used as a title of respect and borne by various notable figures including political leaders.
-
E.
Nana
Nana is the beloved canine nursemaid in J.M. Barrie’s Peter Pan, who dutifully looks after the Darling children.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389183a881908e6af44b71f81ace |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:31 a.m.