Triple
T8119900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E.S.P. |
E189578
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Mood |
E545679
|
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: Mood | Statement: [E.S.P., track, Mood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mood Context triple: [E.S.P., track, Mood]
-
A.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
B.
Mood
"Mood" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotionally charged style and confessional lyricism.
-
C.
Mood
chosen
Mood is an American hip hop group known for its underground, jazz-influenced sound and collaborations with producer Hi-Tek.
-
D.
The Mood
"The Mood" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
-
E.
Emotion
Emotion is a 1984 pop album by Barbra Streisand that blends contemporary production with her signature vocal style.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4359f3dc8190a2330cf6efb8c084 |
completed | March 31, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbeb0e12c8190863f7566d4c40953 |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:33 p.m.