Triple
T16525666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night School |
E401428
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Make Me |
E344326
|
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: Make Me | Statement: [Night School, precededBy, Make Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Me Context triple: [Night School, precededBy, Make Me]
-
A.
Make Me
"Make Me" is a 2015 thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher investigating a sinister mystery in a remote American town.
-
B.
Make Me
chosen
"Make Me" is a song that directly precedes Janet Jackson's single "No Sleeep" in her discography.
-
C.
Make Me Want To
"Make Me Want To" is a country song by American singer Jimmie Allen that became one of his breakout hits on country radio.
-
D.
Please Me
"Please Me" is a 2019 R&B/hip-hop collaboration single by Cardi B and Bruno Mars known for its sultry, retro-inspired slow jam style.
-
E.
Consider Me
"Consider Me" is a soulful, emotionally charged song by American singer-songwriter Allen Stone that showcases his powerful vocals and heartfelt lyricism.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed3f0388190a9f03473c37dfc46 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a7616c8190af486bef3331e115 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.