Triple
T16436634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slide It In |
E399194
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object | Mel Galley |
E1214127
|
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: Mel Galley | Statement: [Slide It In, mainPerformer, Mel Galley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Galley Context triple: [Slide It In, mainPerformer, Mel Galley]
-
A.
Mel Galley
chosen
Mel Galley was an English rock guitarist and songwriter best known for his work with the bands Trapeze and Whitesnake.
-
B.
Cathryn Michon
Cathryn Michon is an American screenwriter, author, and filmmaker known for adapting bestselling novels such as "A Dog’s Journey" for the screen.
-
C.
Emily M. Danforth
Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
-
D.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
E.
Lauren Groff
Lauren Groff is an acclaimed contemporary American novelist and short story writer known for works such as "Fates and Furies," "Matrix," and "Florida."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba224988190b7cccc42f35e54de |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060746c308190b67ff7c4646e10de |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.