Triple
T23529883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There's Always Tomorrow |
E576533
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Elizabeth Young |
—
|
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: Elizabeth Young | Statement: [There's Always Tomorrow, author, Elizabeth Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Young Context triple: [There's Always Tomorrow, author, Elizabeth Young]
-
A.
Elizabeth Young
Elizabeth Young was an American actress active in the 1930s who appeared in several Hollywood films before retiring from the screen.
-
B.
Elizabeth Young
Elizabeth Young is a writer best known for her novel "East of Java."
-
C.
Freya Ridings
Freya Ridings is an English singer-songwriter and pianist known for her emotive vocals and breakout hit single "Lost Without You."
-
D.
Faye Marsay
Faye Marsay is an English actress known for her roles in film and television, including appearances in "Game of Thrones," "Black Mirror," and "Pride."
-
E.
Lady Wray
Lady Wray is the stage name of American R&B and soul singer Nicole Wray, known for her powerful vocals and retro-inspired sound.
- F. None of above. chosen
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7646a48190b5dcbaf8c0c194df |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.