Triple
T14527448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Shang |
E340815
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Chien-Po |
E1062530
|
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: Chien-Po | Statement: [Li Shang, allyOf, Chien-Po]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chien-Po Context triple: [Li Shang, allyOf, Chien-Po]
-
A.
Chien-Po
chosen
Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
-
B.
Yüeh-chih
Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
-
C.
Jia-Chien
Jia-Chien is one of the central daughters in Ang Lee's film "Eat Drink Man Woman," portrayed as a modern, career-focused woman navigating family expectations and personal desires in contemporary Taipei.
-
D.
Chih-chung
Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
-
E.
Hsiao-chang
Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a52260881909a0d85603666107d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.