Triple
T18575037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risk |
E453962
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Melody London |
—
|
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: Melody London | Statement: [Risk, editedBy, Melody London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melody London Context triple: [Risk, editedBy, Melody London]
-
A.
Melody London
chosen
Melody London is a film editor best known for her work on independent and cult cinema, including Jim Jarmusch’s "Down by Law."
-
B.
Ashbury Heights
Ashbury Heights is a residential San Francisco neighborhood known for its hilly streets, Victorian homes, and proximity to the Haight-Ashbury and Cole Valley areas.
-
C.
Melody
Melody is the first name of Melody Love Norwood, the daughter of American singer Ray J and reality TV personality Princess Love.
-
D.
Melody
"Melody" is a 1971 British coming-of-age film about young love and childhood friendship, noted for its nostalgic tone and Bee Gees–heavy soundtrack.
-
E.
Melody
Melody is the adventurous daughter of Ariel and the main protagonist of Disney’s animated sequel "The Little Mermaid II: Return to the Sea."
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c8c0608190afc99235006bf87f |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.