Triple
T18093433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down by Law |
E433026
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Melody London
Melody London is a film editor best known for her work on independent and cult cinema, including Jim Jarmusch’s "Down by Law."
|
E1305403
|
NE FINISHED |
How this triple was built (4 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: [Down by Law, editor, Melody London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melody London Context triple: [Down by Law, editor, Melody London]
-
A.
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.
-
B.
Melody
Melody is the first name of Melody Love Norwood, the daughter of American singer Ray J and reality TV personality Princess Love.
-
C.
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."
-
D.
Melody
Melody is the first name of American jazz singer, songwriter, and musician Melody Gardot, known for her smooth vocals and blend of jazz, blues, and bossa nova.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Melody London Triple: [Down by Law, editor, Melody London]
Generated description
Melody London is a film editor best known for her work on independent and cult cinema, including Jim Jarmusch’s "Down by Law."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melody London Target entity description: Melody London is a film editor best known for her work on independent and cult cinema, including Jim Jarmusch’s "Down by Law."
-
A.
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.
-
B.
Melody
Melody is the first name of Melody Love Norwood, the daughter of American singer Ray J and reality TV personality Princess Love.
-
C.
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.
-
D.
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."
-
E.
Melody
Melody is the first name of American jazz singer, songwriter, and musician Melody Gardot, known for her smooth vocals and blend of jazz, blues, and bossa nova.
- F. None of above. chosen
Provenance (5 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1a75048190924ebc01da83851b |
completed | April 19, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d9d9cd48190a1f12122701e333e |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036a6df6348190893f97731da817f1 |
completed | May 12, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036b44c6008190a3b612b9e7d292f0 |
completed | May 12, 2026, 6:02 p.m. |
Created at: April 10, 2026, 10:27 a.m.