Triple
T12499514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin Juemin |
E298782
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lin |
E102569
|
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: Lin | Statement: [Lin Juemin, familyName, Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lin Context triple: [Lin Juemin, familyName, Lin]
-
A.
Lin
Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
-
B.
Lin
chosen
Lin is a common Chinese surname shared by many individuals of Chinese and East Asian descent.
-
C.
LIN
LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
-
D.
Lee
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
-
E.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb131608190b34a07a7026b160e |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.