Triple
T5085677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerie |
E114631
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Leith Stevens |
E441216
|
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: Leith Stevens | Statement: [Valerie, composer, Leith Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leith Stevens Context triple: [Valerie, composer, Leith Stevens]
-
A.
Leith Stevens
chosen
Leith Stevens was an American composer and arranger best known for his dramatic film and radio scores, particularly in science fiction and adventure genres during the mid-20th century.
-
B.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
C.
Robin McAuley
Robin McAuley is an Irish rock singer best known for his work with the McAuley Schenker Group and as a longtime vocalist in various hard rock and metal projects.
-
D.
Alison Owen
Alison Owen is a British film producer known for acclaimed works such as "Elizabeth," "Shaun of the Dead," and "Saving Mr. Banks."
-
E.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751db4f4819088b998d7af0e6f41 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6f3eb48190b544bf743829cb0c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.