Triple
T15600400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Trouble in Little China |
E375014
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kate Burton |
E319376
|
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: Kate Burton | Statement: [Big Trouble in Little China, starring, Kate Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Burton Context triple: [Big Trouble in Little China, starring, Kate Burton]
-
A.
Kate Burton
chosen
Kate Burton is a British-American actress known for her work on stage and in television series such as "Grey's Anatomy" and "Scandal."
-
B.
Rebecca Gibney
Rebecca Gibney is a New Zealand-born Australian actress known for her prominent roles in film and television, including acclaimed Australian dramas and comedies.
-
C.
Lara Pulver
Lara Pulver is a British actress known for her roles in television series such as "Sherlock" and "Spooks," as well as various film and stage productions.
-
D.
Helen Gibson
Helen Gibson was a pioneering American silent film actress and stunt performer, best known as one of early cinema’s first professional stuntwomen.
-
E.
Martha Fiennes
Martha Fiennes is a British film director, writer, and producer best known for her visually distinctive adaptation of "Onegin."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56cf8e5c8190bf13114ab0a834de |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.