Triple
T21936859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lawrence Tyler |
E541709
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Danger (Been So Long) |
—
|
NE NERFINISHED |
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: Danger (Been So Long) | Statement: [Michael Lawrence Tyler, notableSong, Danger (Been So Long)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danger (Been So Long) Context triple: [Michael Lawrence Tyler, notableSong, Danger (Been So Long)]
-
A.
Danger (Been So Long)
chosen
"Danger (Been So Long)" is a hit hip hop single by American rapper Mystikal, best known for its energetic style and prominent early-2000s chart success.
-
B.
It’s Been So Long
"It’s Been So Long" is a song by Harry Nilsson featured on his 1967 album *Pandemonium Shadow Show*.
-
C.
Love Is Dangerous
"Love Is Dangerous" is a song by Blink-182 from their 2011 album "Neighborhoods."
-
D.
Been So Long
"Been So Long" is a song featured on the album "U Turn."
-
E.
Been So Long
Been So Long is a British musical romantic drama film adapted from a stage play, known for its vibrant London setting and soulful exploration of love and second chances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241c909c81908644eb73baa9def1 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:54 p.m.