Triple
T10537024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spencer Tracy |
E248592
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Louise Treadwell |
E248592
|
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: Louise Treadwell | Statement: [Spencer Tracy, spouse, Louise Treadwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Treadwell Context triple: [Spencer Tracy, spouse, Louise Treadwell]
-
A.
Louise Treadwell
chosen
Louise Treadwell was an American actress and philanthropist best known as the longtime wife of actor Spencer Tracy and co-founder of the John Tracy Clinic for children with hearing impairments.
-
B.
Ann Treadwell
Ann Treadwell is a supporting character in the classic 1944 film noir "Laura," involved in the story’s web of romance, jealousy, and intrigue surrounding the title character’s apparent murder.
-
C.
Muriel McClure
Muriel McClure was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
D.
Ethel Wayman
Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
-
E.
Mary Morris
Mary "May" Morris was a British artisan, designer, and influential figure in the Arts and Crafts movement, known especially for her innovative embroidery and textile work.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a554fb4819081e9618bab051dc6 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b5ad3c81909c38c83804b7d337 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 6, 2026, 12:31 p.m.