Triple
T19092298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin Gengxin |
E467316
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | My Old Classmate |
—
|
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: My Old Classmate | Statement: [Lin Gengxin, workedOn, My Old Classmate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Old Classmate Context triple: [Lin Gengxin, workedOn, My Old Classmate]
-
A.
My Old Classmate
chosen
My Old Classmate is a Chinese romantic drama film starring Lin Gengxin that follows the bittersweet coming-of-age story of two classmates whose relationship evolves over many years.
-
B.
My Old School
"My Old School" is a jazz-rock song by Steely Dan, known for its intricate arrangements, sardonic lyrics, and storytelling about a notorious college-era incident.
-
C.
Dear Old Friend
"Dear Old Friend" is a musical number from Andrew Lloyd Webber’s stage sequel to The Phantom of the Opera, *Love Never Dies*.
-
D.
Friend of My Youth
Friend of My Youth is a short story collection by Canadian Nobel laureate Alice Munro, known for its nuanced explorations of memory, family, and the complexities of women's lives.
-
E.
My Friend
"My Friend" is a song featured on the EP "Available Light."
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34c22a08190bf34f92f727268c5 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.