Triple
T12990583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangerine |
E321890
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | Tangerine (music video) |
E341158
|
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: Tangerine (music video) | Statement: [Tangerine, hasMusicVideo, Tangerine (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tangerine (music video) Context triple: [Tangerine, hasMusicVideo, Tangerine (music video)]
-
A.
Tangerine (album)
Tangerine is a studio album by the American glam metal band Vixen, showcasing their melodic hard rock sound.
-
B.
Tangerine
"Tangerine" is a funk-infused hip hop track by Big Boi featuring T.I., known for its playful, club-ready sound and appearance on Big Boi’s debut solo album.
-
C.
Tangerine
chosen
"Tangerine" is a song by the English indie rock band Glass Animals, known for its dreamy production and introspective lyrics.
-
D.
Tangerine
Tangerine is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its upbeat rhythm and vibrant, danceable style.
-
E.
Valley Girl
Valley Girl is a 1983 romantic comedy film that helped popularize Southern California "Valley" youth culture and slang in mainstream American cinema.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.