Triple
T5693543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eat Drink Man Woman |
E125481
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Jia-Jen |
E539302
|
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: Jia-Jen | Statement: [Eat Drink Man Woman, mainCharacter, Jia-Jen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jia-Jen Context triple: [Eat Drink Man Woman, mainCharacter, Jia-Jen]
-
A.
Mei Lin
Mei Lin is a sharp, ambitious Chinese-American medical student and love interest of Joel Maisel in the television series "The Marvelous Mrs. Maisel."
-
B.
Mei-ling
Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
-
C.
Jia
Jia is a young deaf orphan girl who forms an emotional bond with King Kong in the MonsterVerse film "Godzilla vs. Kong."
-
D.
Jia-Chien
chosen
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.
-
E.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e7dbe48190850b501f223614e3 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dd76f008190970c3b17ec8cbfd8 |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:44 p.m.