Triple
T20047870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Lowe |
E497609
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ruth Terry |
—
|
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: Ruth Terry | Statement: [Edmund Lowe, spouse, Ruth Terry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Terry Context triple: [Edmund Lowe, spouse, Ruth Terry]
-
A.
Ruth Terry
chosen
Ruth Terry was an American actress and singer known for her roles in 1930s and 1940s Hollywood films, particularly in musicals and Westerns.
-
B.
Ruth Taylor
Ruth Taylor was an American film actress of the silent and early sound era, best remembered for her comedic roles in the late 1920s.
-
C.
Ruth Robbins
Ruth Robbins is an academic and author known for her work in literary and cultural studies.
-
D.
Ruth Robbins
Ruth Robbins was an American illustrator best known for her artwork in classic fantasy literature, including the original edition of Ursula K. Le Guin’s "A Wizard of Earthsea."
-
E.
Dorothy Bracken
Dorothy Bracken was an American actress and dancer best known for her work on Broadway and for being married to comedian Don Adams.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632c085081908710cbc939ac9971 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.