Triple
T20882903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River of No Return |
E514196
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Travilla |
—
|
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: Travilla | Statement: [River of No Return, costumeDesigner, Travilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travilla Context triple: [River of No Return, costumeDesigner, Travilla]
-
A.
Travilla
chosen
Travilla was an American costume designer best known for creating some of Marilyn Monroe’s most iconic film dresses, including those in "Gentlemen Prefer Blondes."
-
B.
Tibbits
Tibbits is an English-language surname borne by various notable individuals across different fields.
-
C.
Trumbauer
Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
-
D.
Tapperiet
Tapperiet is a notable live music venue in Notodden, Norway, best known for hosting performances during the renowned Notodden Blues Festival.
-
E.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67b03088190be7cbcde8c59509a |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.