Triple
T17025827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedicab Driver |
E413060
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nina Li Chi |
E980594
|
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: Nina Li Chi | Statement: [Pedicab Driver, starring, Nina Li Chi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Li Chi Context triple: [Pedicab Driver, starring, Nina Li Chi]
-
A.
Nina Li Chi
chosen
Nina Li Chi is a retired Hong Kong actress best known for her film work in the late 1980s and early 1990s and for being married to martial arts star Jet Li.
-
B.
Amy Chiang
Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
-
C.
Tina Chen
Tina Chen is a Taiwanese-American actress known for her film and television work from the late 1960s onward, often portraying complex Asian and Asian-American characters.
-
D.
Niki Yang
Niki Yang is a South Korean-American voice actress, animator, and storyboard artist best known for voicing characters like BMO and Lady Rainicorn on the animated series "Adventure Time."
-
E.
Cindy Wu
Cindy Wu is a companion character in Titan Comics' Doctor Who series who travels with the Tenth Doctor on various adventures.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed2ad708190a250762997611569 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:33 a.m.