Triple
T16611580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing |
E403581
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Melody |
E965236
|
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: Melody | Statement: [Crashing, mainCharacter, Melody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melody Context triple: [Crashing, mainCharacter, Melody]
-
A.
Melody
Melody is the first name of Melody Love Norwood, the daughter of American singer Ray J and reality TV personality Princess Love.
-
B.
Melody
chosen
Melody is the adventurous daughter of Ariel and the main protagonist of Disney’s animated sequel "The Little Mermaid II: Return to the Sea."
-
C.
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.
-
D.
Sweet Melody
"Sweet Melody" is a hit pop song by British girl group Little Mix, known for its catchy chorus, slick production, and themes of empowerment and heartbreak.
-
E.
My Melody
My Melody is a popular Sanrio character, a sweet white rabbit known for her pink hood and gentle, friendly personality.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.