Triple
T15914474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Zhang |
E385933
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Princess Shouyi |
E1184936
|
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: Princess Shouyi | Statement: [Empress Zhang, child, Princess Shouyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Shouyi Context triple: [Empress Zhang, child, Princess Shouyi]
-
A.
Princess Shou'an
Princess Shou'an was a Tang dynasty imperial princess, best known as a daughter of Emperor Xianzong of Tang and a member of the ruling Li clan aristocracy.
-
B.
Princess Tongchang
Princess Tongchang was a favored Tang dynasty imperial princess, renowned for the lavish and extravagant funeral arranged by her father, Emperor Xianzong, which became notorious for its excess.
-
C.
Princess Yangxin
Princess Yangxin was a Han dynasty imperial princess, known as a daughter of Emperor Jing of Han and a member of the Western Han royal family.
-
D.
Princess Shoukang
chosen
Princess Shoukang was a Chinese imperial princess of the Song dynasty, notable as a daughter of Empress Zhang and a member of the ruling imperial family.
-
E.
Princess Pei-Pei
Princess Pei-Pei is the kidnapped Chinese royal whose rescue drives the comedic Western adventure plot of the film "Shanghai Noon."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1566216d481908dd6e3acaa26fd45 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bb7d608190babbea74a9ca9f4c |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.