Triple
T10632368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Grable |
E250488
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mother Wore Tights |
E626385
|
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: Mother Wore Tights | Statement: [Betty Grable, notableWork, Mother Wore Tights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mother Wore Tights Context triple: [Betty Grable, notableWork, Mother Wore Tights]
-
A.
Mother Wore Tights
chosen
Mother Wore Tights is a 1947 American musical film starring Betty Grable that follows the lives and careers of a vaudeville song-and-dance couple.
-
B.
The Panties
The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
-
C.
Between My Legs
"Between My Legs" is a song by singer-songwriter Rufus Wainwright from his album "Release the Stars."
-
D.
Baggy Trousers
"Baggy Trousers" is a 1980 ska/pop single by the British band Madness, celebrated for its nostalgic lyrics about school days and its energetic, bouncy rhythm.
-
E.
Sex Is in the Heel
"Sex Is in the Heel" is a showstopping musical number from the Broadway musical *Kinky Boots*, known for its upbeat celebration of self-expression and glamorous footwear.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bb4bbf08190994ea9123c0b2dab |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:02 p.m.