Triple
T23412710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Morrison |
E560119
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Pilar Pallete |
E635785
|
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: Pilar Pallete | Statement: [Marion Morrison, spouse, Pilar Pallete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilar Pallete Context triple: [Marion Morrison, spouse, Pilar Pallete]
-
A.
Pilar Pallete
chosen
Pilar Pallete is a Peruvian actress best known as the third wife of American film star John Wayne.
-
B.
Paloma
Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
-
C.
Paloma
Paloma is a popular Mexican tequila-based cocktail typically made with grapefruit soda or juice and lime, known for its refreshing, citrusy flavor.
-
D.
Zandra
Zandra is a science fiction work authored by American writer and illustrator William Rotsler.
-
E.
Pilar de la Tejuela
Pilar de la Tejuela is a historic stone fountain and watering place located in Alcalá la Real, Spain, notable for its traditional architectural style and local cultural significance.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5124a54819087a7ae2f8a5b3dc0 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c679b72888190b9c25ca700f60098 |
completed | May 19, 2026, 1:37 p.m. |
Created at: April 17, 2026, 5:38 p.m.