Triple
T14540301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heat Waves |
E341150
|
entity |
| Predicate | chronologyNextTitle |
P26896
|
FINISHED |
| Object | Tangerine |
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 | Statement: [Heat Waves, chronologyNextTitle, Tangerine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tangerine Context triple: [Heat Waves, chronologyNextTitle, Tangerine]
-
A.
Tangerine
Tangerine is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its upbeat rhythm and vibrant, danceable style.
-
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
"Tangerine" is an episode of the American sitcom "The King of Queens," known for its comedic take on everyday married life in Queens, New York.
-
D.
Tangerine
chosen
"Tangerine" is a song by the English indie rock band Glass Animals, known for its dreamy production and introspective lyrics.
-
E.
Paradise Road
Paradise Road is a 1997 war drama film about women prisoners of war in World War II, known for its ensemble cast and portrayal of resilience under Japanese captivity.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5cca788190aa8762d860c78721 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.