Triple
T15629675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Brown (1997 film) |
E375776
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Melanie Ralston |
E202032
|
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: Melanie Ralston | Statement: [Jackie Brown (1997 film), character, Melanie Ralston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Ralston Context triple: [Jackie Brown (1997 film), character, Melanie Ralston]
-
A.
Melanie Ralston
chosen
Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
-
B.
Charlene Morton
Charlene Morton is the bold, street-smart ex-convict portrayed by Queen Latifah in the comedy film "Bringing Down the House."
-
C.
Renée Lees
Renée Lees was the wife of prominent British philosopher A. J. Ayer.
-
D.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
E.
Meryl Swanson
Meryl Swanson is an Australian politician and member of the House of Representatives for the Labor Party.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb7c2a6081908e957d39ec056062 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:14 a.m.