Triple
T20500950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luisana Lopilato |
E503299
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pipa |
—
|
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: Pipa | Statement: [Luisana Lopilato, notableWork, Pipa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pipa Context triple: [Luisana Lopilato, notableWork, Pipa]
-
A.
Pipa Ji
Pipa Ji is a revered Bhakti-era saint and poet whose hymns are included in the Sikh scripture, the Guru Granth Sahib.
-
B.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
C.
The Song of the Pipa
chosen
The Song of the Pipa is a renowned narrative poem by Tang dynasty poet Bai Juyi that vividly portrays the melancholy life of a pipa-playing courtesan and reflects on the sorrows of human existence.
-
D.
Panchiao
Panchiao is an older romanization of Banqiao District, a major urban district and transportation hub in New Taipei City, Taiwan.
-
E.
Jianhu Nüxia
Jianhu Nüxia is a pioneering early 20th-century Chinese feminist and revolutionary text by Qiu Jin that blends martial-heroine fiction with radical political and gender critique.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc1ea7081908d17c224b1670bd7 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.