Triple
T3128214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Malice |
E65346
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Mr. Me Too |
E208606
|
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: Mr. Me Too | Statement: [No Malice, notableSong, Mr. Me Too]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Me Too Context triple: [No Malice, notableSong, Mr. Me Too]
-
A.
Mr. Me Too
chosen
"Mr. Me Too" is a 2006 hip-hop single by Clipse featuring Pharrell Williams, known for its minimalist Neptunes production and sharp commentary on trend-chasing and imitation in rap culture.
-
B.
Me Too (novel)
Me Too is a novel whose story inspired the film "All of Me."
-
C.
Her Too
"Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
-
D.
Miss Overmore
Miss Overmore is a governess and one of the key adult figures in Henry James’s novel "What Maisie Knew," embodying the complex moral ambiguities surrounding the child protagonist.
-
E.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7c70108190b61177d1581fc33f |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.