Triple
T21448647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Bolotin |
E529144
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Light It Up |
—
|
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: Light It Up | Statement: [Craig Bolotin, wroteScreenplayFor, Light It Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Light It Up Context triple: [Craig Bolotin, wroteScreenplayFor, Light It Up]
-
A.
Light It Up
"Light It Up" is a popular electronic dance track by Major Lazer, known for its infectious beat and global chart success.
-
B.
Light It Up
"Light It Up" is a country song by Luke Bryan that served as the lead single from his album "What Makes You Country."
-
C.
Light It Up
chosen
Light It Up is a 1999 American drama-thriller film about a group of students who take their high school hostage to protest injustice and systemic inequality.
-
D.
Light Up
"Light Up" is a song by Canadian rapper Drake featuring Jay-Z from his debut studio album "Thank Me Later."
-
E.
Shoot Out the Lights
Shoot Out the Lights is a critically acclaimed 1982 folk-rock album by Richard and Linda Thompson, renowned for its emotionally intense songwriting and guitar work chronicling the collapse of their marriage.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.