Triple
T19741505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhao Huanyu |
E474132
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Special ID |
—
|
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: Special ID | Statement: [Zhao Huanyu, appearedIn, Special ID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Special ID Context triple: [Zhao Huanyu, appearedIn, Special ID]
-
A.
Special ID
chosen
Special ID is a Chinese action film featuring Jing Tian in a prominent role alongside Donnie Yen.
-
B.
I.D.
I.D. is a poetry collection by Philip Gross that explores themes of identity, memory, and the self with his characteristically reflective and nuanced style.
-
C.
IDOR
IDOR is the state agency responsible for administering tax laws and collecting revenues for the state of Illinois.
-
D.
ID
ID is the two-letter United States Postal Service abbreviation for the state of Idaho.
-
E.
ID
ID is an American true crime–focused television network known for its documentaries and docudramas about real criminal cases and investigations.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6516159c8819090022094aa91902b |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.