Triple
T19331738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo Jia |
E483511
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jia |
—
|
NE NERFINISHED |
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 | Statement: [Guo Jia, givenName, Jia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jia Context triple: [Guo Jia, givenName, Jia]
-
A.
Jia
chosen
Jia is a young deaf orphan girl who forms an emotional bond with King Kong in the MonsterVerse film "Godzilla vs. Kong."
-
B.
Jiaoren
Jiaoren is the given name of Song Jiaoren, a prominent early 20th-century Chinese republican revolutionary and political leader.
-
C.
Jie
Jie is the given name of Ke Jie, a prominent Chinese professional Go player and former world champion.
-
D.
Jie
The Jie are a pastoralist ethnic group of East Africa, primarily inhabiting parts of South Sudan and neighboring regions, known for cattle herding and clan-based social organization.
-
E.
Jia-Ning
Jia-Ning is one of the central daughters in Ang Lee’s film "Eat Drink Man Woman," whose personal and romantic struggles reflect the evolving dynamics of her traditional Taiwanese family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.