Triple
T3783360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Found Love |
E85469
|
entity |
| Predicate | theme |
P261
|
FINISHED |
| Object | euphoria |
E101315
|
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: euphoria | Statement: [We Found Love, theme, euphoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: euphoria Context triple: [We Found Love, theme, euphoria]
-
A.
Euphoria
chosen
Euphoria is a critically acclaimed HBO teen drama series known for its raw portrayal of addiction, identity, and sexuality, featuring Zendaya in a lead role.
-
B.
Epi
Epi is a volcanic island in central Vanuatu known for its lush landscapes, traditional villages, and surrounding coral reefs.
-
C.
Epip
Epip is a summer month in the Coptic calendar, roughly corresponding to July in the Gregorian calendar.
-
D.
Euphoria Morning
Euphoria Morning is the debut solo studio album by American rock musician Chris Cornell, showcasing a more melodic and introspective sound distinct from his work with Soundgarden.
-
E.
Emer
Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04747448190be484cda5b2a7a8c |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.