Triple
T20338804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Done Him Wrong |
E495685
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Diamond Lil |
—
|
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: Diamond Lil | Statement: [She Done Him Wrong, basedOn, Diamond Lil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diamond Lil Context triple: [She Done Him Wrong, basedOn, Diamond Lil]
-
A.
Diamond Lil
chosen
"Diamond Lil" is a 1928 stage play by Mae West, featuring her iconic brash, sexually liberated heroine set in the 1890s Bowery underworld.
-
B.
Lil
Lil is a key character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a reputation-based future society centered around a Disney World-like theme park.
-
C.
Lil
Lil is a character portrayed by Maria Bello, best known as the tough, enigmatic bar owner in the film "Coyote Ugly."
-
D.
Lil
Lil is the nickname and given name of Lil Hardin Armstrong, a pioneering American jazz pianist, composer, and bandleader.
-
E.
Lil Baby
Lil Baby is an American rapper and songwriter known for his melodic flow, street-oriented lyrics, and prominence in contemporary trap music.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.